renaissance-movie-lens_0

[2025-07-16T02:44:16.450Z] Running test renaissance-movie-lens_0 ... [2025-07-16T02:44:16.450Z] =============================================== [2025-07-16T02:44:16.450Z] renaissance-movie-lens_0 Start Time: Tue Jul 15 22:44:16 2025 Epoch Time (ms): 1752633856116 [2025-07-16T02:44:16.450Z] variation: NoOptions [2025-07-16T02:44:16.450Z] JVM_OPTIONS: [2025-07-16T02:44:16.450Z] { \ [2025-07-16T02:44:16.450Z] echo ""; echo "TEST SETUP:"; \ [2025-07-16T02:44:16.450Z] echo "Nothing to be done for setup."; \ [2025-07-16T02:44:16.450Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17526332362299/renaissance-movie-lens_0"; \ [2025-07-16T02:44:16.450Z] cd "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17526332362299/renaissance-movie-lens_0"; \ [2025-07-16T02:44:16.450Z] echo ""; echo "TESTING:"; \ [2025-07-16T02:44:16.450Z] "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17526332362299/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-07-16T02:44:16.450Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17526332362299/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-07-16T02:44:16.450Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-07-16T02:44:16.450Z] echo "Nothing to be done for teardown."; \ [2025-07-16T02:44:16.450Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17526332362299/TestTargetResult"; [2025-07-16T02:44:16.450Z] [2025-07-16T02:44:16.450Z] TEST SETUP: [2025-07-16T02:44:16.450Z] Nothing to be done for setup. [2025-07-16T02:44:16.450Z] [2025-07-16T02:44:16.450Z] TESTING: [2025-07-16T02:44:20.453Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 3 (out of 3) threads. [2025-07-16T02:44:25.490Z] 22:44:24.467 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1866 KiB). The maximum recommended task size is 1000 KiB. [2025-07-16T02:44:26.260Z] Got 100004 ratings from 671 users on 9066 movies. [2025-07-16T02:44:26.260Z] Training: 60056, validation: 20285, test: 19854 [2025-07-16T02:44:26.260Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-07-16T02:44:26.617Z] GC before operation: completed in 73.545 ms, heap usage 261.748 MB -> 74.521 MB. [2025-07-16T02:44:29.771Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T02:44:32.246Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T02:44:34.740Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T02:44:37.229Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T02:44:38.493Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T02:44:39.742Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T02:44:41.624Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T02:44:42.952Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T02:44:42.952Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-16T02:44:42.952Z] The best model improves the baseline by 14.52%. [2025-07-16T02:44:42.952Z] Top recommended movies for user id 72: [2025-07-16T02:44:42.952Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-16T02:44:42.952Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-16T02:44:42.952Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-16T02:44:42.952Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-16T02:44:42.952Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-16T02:44:42.952Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (16528.381 ms) ====== [2025-07-16T02:44:42.952Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-07-16T02:44:42.952Z] GC before operation: completed in 111.482 ms, heap usage 388.901 MB -> 86.601 MB. [2025-07-16T02:44:45.395Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T02:44:47.171Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T02:44:49.602Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T02:44:51.436Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T02:44:52.688Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T02:44:54.020Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T02:44:54.866Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T02:44:56.113Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T02:44:56.113Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-16T02:44:56.472Z] The best model improves the baseline by 14.52%. [2025-07-16T02:44:56.472Z] Top recommended movies for user id 72: [2025-07-16T02:44:56.472Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-16T02:44:56.472Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-16T02:44:56.472Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-16T02:44:56.472Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-16T02:44:56.472Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-16T02:44:56.472Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (13323.898 ms) ====== [2025-07-16T02:44:56.472Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-07-16T02:44:56.472Z] GC before operation: completed in 101.161 ms, heap usage 187.042 MB -> 87.101 MB. [2025-07-16T02:44:58.371Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T02:45:00.877Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T02:45:02.771Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T02:45:04.621Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T02:45:05.924Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T02:45:07.260Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T02:45:08.059Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T02:45:09.303Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T02:45:09.303Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-16T02:45:09.303Z] The best model improves the baseline by 14.52%. [2025-07-16T02:45:09.680Z] Top recommended movies for user id 72: [2025-07-16T02:45:09.680Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-16T02:45:09.680Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-16T02:45:09.680Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-16T02:45:09.680Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-16T02:45:09.680Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-16T02:45:09.680Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (13023.183 ms) ====== [2025-07-16T02:45:09.680Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-07-16T02:45:09.680Z] GC before operation: completed in 104.890 ms, heap usage 430.164 MB -> 88.077 MB. [2025-07-16T02:45:11.468Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T02:45:13.329Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T02:45:15.137Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T02:45:16.945Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T02:45:17.731Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T02:45:18.976Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T02:45:20.295Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T02:45:21.574Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T02:45:21.942Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-16T02:45:21.942Z] The best model improves the baseline by 14.52%. [2025-07-16T02:45:21.942Z] Top recommended movies for user id 72: [2025-07-16T02:45:21.942Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-16T02:45:21.942Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-16T02:45:21.942Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-16T02:45:21.942Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-16T02:45:21.942Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-16T02:45:21.942Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (12284.671 ms) ====== [2025-07-16T02:45:21.942Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-07-16T02:45:21.942Z] GC before operation: completed in 91.636 ms, heap usage 299.695 MB -> 88.223 MB. [2025-07-16T02:45:23.767Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T02:45:26.257Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T02:45:28.713Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T02:45:30.564Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T02:45:31.353Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T02:45:32.594Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T02:45:33.916Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T02:45:34.701Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T02:45:35.078Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-16T02:45:35.078Z] The best model improves the baseline by 14.52%. [2025-07-16T02:45:35.078Z] Top recommended movies for user id 72: [2025-07-16T02:45:35.078Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-16T02:45:35.078Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-16T02:45:35.078Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-16T02:45:35.078Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-16T02:45:35.078Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-16T02:45:35.078Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (13101.160 ms) ====== [2025-07-16T02:45:35.078Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-07-16T02:45:35.078Z] GC before operation: completed in 100.768 ms, heap usage 173.338 MB -> 87.932 MB. [2025-07-16T02:45:37.534Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T02:45:39.336Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T02:45:41.153Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T02:45:42.971Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T02:45:43.809Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T02:45:45.104Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T02:45:46.366Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T02:45:47.619Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T02:45:47.619Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-16T02:45:47.619Z] The best model improves the baseline by 14.52%. [2025-07-16T02:45:47.988Z] Top recommended movies for user id 72: [2025-07-16T02:45:47.988Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-16T02:45:47.988Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-16T02:45:47.988Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-16T02:45:47.988Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-16T02:45:47.988Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-16T02:45:47.988Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (12653.284 ms) ====== [2025-07-16T02:45:47.988Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-07-16T02:45:47.988Z] GC before operation: completed in 97.744 ms, heap usage 295.334 MB -> 88.441 MB. [2025-07-16T02:45:49.806Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T02:45:51.614Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T02:45:54.091Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T02:45:55.899Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T02:45:56.694Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T02:45:57.951Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T02:45:59.214Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T02:46:00.013Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T02:46:00.395Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-16T02:46:00.395Z] The best model improves the baseline by 14.52%. [2025-07-16T02:46:00.395Z] Top recommended movies for user id 72: [2025-07-16T02:46:00.395Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-16T02:46:00.395Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-16T02:46:00.395Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-16T02:46:00.395Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-16T02:46:00.395Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-16T02:46:00.395Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (12427.622 ms) ====== [2025-07-16T02:46:00.395Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-07-16T02:46:00.395Z] GC before operation: completed in 87.838 ms, heap usage 393.726 MB -> 88.510 MB. [2025-07-16T02:46:02.880Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T02:46:04.729Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T02:46:06.588Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T02:46:08.408Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T02:46:09.653Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T02:46:10.895Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T02:46:12.184Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T02:46:12.979Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T02:46:12.979Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-16T02:46:13.354Z] The best model improves the baseline by 14.52%. [2025-07-16T02:46:13.355Z] Top recommended movies for user id 72: [2025-07-16T02:46:13.355Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-16T02:46:13.355Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-16T02:46:13.355Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-16T02:46:13.355Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-16T02:46:13.355Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-16T02:46:13.355Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (12775.382 ms) ====== [2025-07-16T02:46:13.355Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-07-16T02:46:13.355Z] GC before operation: completed in 104.831 ms, heap usage 299.857 MB -> 88.655 MB. [2025-07-16T02:46:15.176Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T02:46:17.047Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T02:46:19.489Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T02:46:20.795Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T02:46:22.084Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T02:46:23.326Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T02:46:24.604Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T02:46:25.389Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T02:46:25.761Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-16T02:46:25.761Z] The best model improves the baseline by 14.52%. [2025-07-16T02:46:25.761Z] Top recommended movies for user id 72: [2025-07-16T02:46:25.761Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-16T02:46:25.761Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-16T02:46:25.761Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-16T02:46:25.761Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-16T02:46:25.761Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-16T02:46:25.761Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (12465.932 ms) ====== [2025-07-16T02:46:25.761Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-07-16T02:46:25.761Z] GC before operation: completed in 82.840 ms, heap usage 295.042 MB -> 88.452 MB. [2025-07-16T02:46:27.698Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T02:46:29.516Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T02:46:32.005Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T02:46:33.296Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T02:46:34.573Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T02:46:35.377Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T02:46:36.614Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T02:46:37.893Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T02:46:37.893Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-16T02:46:37.893Z] The best model improves the baseline by 14.52%. [2025-07-16T02:46:37.893Z] Top recommended movies for user id 72: [2025-07-16T02:46:37.893Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-16T02:46:37.893Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-16T02:46:37.893Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-16T02:46:37.893Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-16T02:46:37.893Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-16T02:46:37.893Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (11983.671 ms) ====== [2025-07-16T02:46:37.893Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-07-16T02:46:37.893Z] GC before operation: completed in 84.128 ms, heap usage 189.163 MB -> 88.521 MB. [2025-07-16T02:46:39.703Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T02:46:41.501Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T02:46:43.324Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T02:46:45.113Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T02:46:46.376Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T02:46:47.150Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T02:46:47.940Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T02:46:49.241Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T02:46:49.241Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-16T02:46:49.241Z] The best model improves the baseline by 14.52%. [2025-07-16T02:46:49.241Z] Top recommended movies for user id 72: [2025-07-16T02:46:49.241Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-16T02:46:49.241Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-16T02:46:49.241Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-16T02:46:49.241Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-16T02:46:49.241Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-16T02:46:49.241Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (11172.307 ms) ====== [2025-07-16T02:46:49.241Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-07-16T02:46:49.241Z] GC before operation: completed in 64.613 ms, heap usage 300.448 MB -> 88.428 MB. [2025-07-16T02:46:50.613Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T02:46:52.415Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T02:46:53.692Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T02:46:55.484Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T02:46:56.754Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T02:46:58.050Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T02:46:58.889Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T02:47:00.156Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T02:47:00.533Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-16T02:47:00.533Z] The best model improves the baseline by 14.52%. [2025-07-16T02:47:00.533Z] Top recommended movies for user id 72: [2025-07-16T02:47:00.533Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-16T02:47:00.534Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-16T02:47:00.534Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-16T02:47:00.534Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-16T02:47:00.534Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-16T02:47:00.534Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (11309.517 ms) ====== [2025-07-16T02:47:00.534Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-07-16T02:47:00.534Z] GC before operation: completed in 77.357 ms, heap usage 306.622 MB -> 88.649 MB. [2025-07-16T02:47:02.410Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T02:47:04.260Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T02:47:06.095Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T02:47:07.880Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T02:47:09.171Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T02:47:10.443Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T02:47:11.221Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T02:47:12.538Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T02:47:12.897Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-16T02:47:12.897Z] The best model improves the baseline by 14.52%. [2025-07-16T02:47:12.897Z] Top recommended movies for user id 72: [2025-07-16T02:47:12.897Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-16T02:47:12.897Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-16T02:47:12.897Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-16T02:47:12.897Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-16T02:47:12.897Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-16T02:47:12.897Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (12301.616 ms) ====== [2025-07-16T02:47:12.897Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-07-16T02:47:12.897Z] GC before operation: completed in 86.959 ms, heap usage 187.216 MB -> 88.624 MB. [2025-07-16T02:47:14.692Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T02:47:17.149Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T02:47:19.002Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T02:47:20.828Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T02:47:22.084Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T02:47:22.889Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T02:47:24.193Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T02:47:24.964Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T02:47:25.328Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-16T02:47:25.328Z] The best model improves the baseline by 14.52%. [2025-07-16T02:47:25.328Z] Top recommended movies for user id 72: [2025-07-16T02:47:25.328Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-16T02:47:25.328Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-16T02:47:25.328Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-16T02:47:25.328Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-16T02:47:25.328Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-16T02:47:25.328Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (12360.611 ms) ====== [2025-07-16T02:47:25.328Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-07-16T02:47:25.328Z] GC before operation: completed in 0.912 ms, heap usage 108.280 MB -> 108.327 MB. [2025-07-16T02:47:27.123Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T02:47:28.904Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T02:47:31.343Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T02:47:33.176Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T02:47:33.985Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T02:47:35.287Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T02:47:36.554Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T02:47:37.346Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T02:47:37.346Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-16T02:47:37.706Z] The best model improves the baseline by 14.52%. [2025-07-16T02:47:37.706Z] Top recommended movies for user id 72: [2025-07-16T02:47:37.706Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-16T02:47:37.706Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-16T02:47:37.706Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-16T02:47:37.706Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-16T02:47:37.706Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-16T02:47:37.706Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (12250.733 ms) ====== [2025-07-16T02:47:37.706Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-07-16T02:47:37.706Z] GC before operation: completed in 96.153 ms, heap usage 220.886 MB -> 88.634 MB. [2025-07-16T02:47:39.485Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T02:47:41.286Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T02:47:43.107Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T02:47:44.929Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T02:47:46.194Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T02:47:47.454Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T02:47:48.739Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T02:47:49.522Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T02:47:49.901Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-16T02:47:49.901Z] The best model improves the baseline by 14.52%. [2025-07-16T02:47:49.901Z] Top recommended movies for user id 72: [2025-07-16T02:47:49.901Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-16T02:47:49.901Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-16T02:47:49.901Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-16T02:47:49.901Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-16T02:47:49.901Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-16T02:47:49.901Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (12103.649 ms) ====== [2025-07-16T02:47:49.901Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-07-16T02:47:49.901Z] GC before operation: completed in 93.427 ms, heap usage 241.105 MB -> 88.549 MB. [2025-07-16T02:47:51.714Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T02:47:53.524Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T02:47:55.344Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T02:47:57.211Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T02:47:58.501Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T02:47:59.769Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T02:48:01.083Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T02:48:01.878Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T02:48:02.281Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-16T02:48:02.281Z] The best model improves the baseline by 14.52%. [2025-07-16T02:48:02.281Z] Top recommended movies for user id 72: [2025-07-16T02:48:02.281Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-16T02:48:02.281Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-16T02:48:02.281Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-16T02:48:02.281Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-16T02:48:02.281Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-16T02:48:02.281Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (12273.484 ms) ====== [2025-07-16T02:48:02.281Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-07-16T02:48:02.281Z] GC before operation: completed in 101.478 ms, heap usage 216.522 MB -> 88.616 MB. [2025-07-16T02:48:04.232Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T02:48:06.121Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T02:48:07.967Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T02:48:09.765Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T02:48:10.552Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T02:48:11.820Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T02:48:13.118Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T02:48:14.380Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T02:48:14.380Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-16T02:48:14.380Z] The best model improves the baseline by 14.52%. [2025-07-16T02:48:14.380Z] Top recommended movies for user id 72: [2025-07-16T02:48:14.380Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-16T02:48:14.380Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-16T02:48:14.380Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-16T02:48:14.380Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-16T02:48:14.380Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-16T02:48:14.380Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (12096.485 ms) ====== [2025-07-16T02:48:14.380Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-07-16T02:48:14.380Z] GC before operation: completed in 90.592 ms, heap usage 294.133 MB -> 88.521 MB. [2025-07-16T02:48:16.809Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T02:48:18.630Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T02:48:20.446Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T02:48:22.255Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T02:48:23.042Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T02:48:24.309Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T02:48:25.562Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T02:48:26.345Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T02:48:26.726Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-16T02:48:26.726Z] The best model improves the baseline by 14.52%. [2025-07-16T02:48:26.726Z] Top recommended movies for user id 72: [2025-07-16T02:48:26.726Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-16T02:48:26.726Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-16T02:48:26.726Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-16T02:48:26.726Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-16T02:48:26.726Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-16T02:48:26.726Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (12288.885 ms) ====== [2025-07-16T02:48:26.726Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-07-16T02:48:26.726Z] GC before operation: completed in 94.281 ms, heap usage 130.574 MB -> 88.393 MB. [2025-07-16T02:48:28.548Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T02:48:31.000Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T02:48:32.263Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T02:48:34.059Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T02:48:35.310Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T02:48:36.559Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T02:48:37.349Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T02:48:38.637Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T02:48:38.637Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-16T02:48:38.637Z] The best model improves the baseline by 14.52%. [2025-07-16T02:48:38.637Z] Top recommended movies for user id 72: [2025-07-16T02:48:38.637Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-16T02:48:38.637Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-16T02:48:38.637Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-16T02:48:38.637Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-16T02:48:38.637Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-16T02:48:38.637Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (11925.706 ms) ====== [2025-07-16T02:48:39.440Z] ----------------------------------- [2025-07-16T02:48:39.440Z] renaissance-movie-lens_0_PASSED [2025-07-16T02:48:39.440Z] ----------------------------------- [2025-07-16T02:48:39.440Z] [2025-07-16T02:48:39.440Z] TEST TEARDOWN: [2025-07-16T02:48:39.440Z] Nothing to be done for teardown. [2025-07-16T02:48:39.440Z] renaissance-movie-lens_0 Finish Time: Tue Jul 15 22:48:39 2025 Epoch Time (ms): 1752634119014