[2025-05-01T00:05:38.642Z] Running test renaissance-movie-lens_0 ... [2025-05-01T00:05:38.642Z] =============================================== [2025-05-01T00:05:38.642Z] renaissance-movie-lens_0 Start Time: Thu May 1 00:05:37 2025 Epoch Time (ms): 1746057937863 [2025-05-01T00:05:38.642Z] variation: NoOptions [2025-05-01T00:05:38.642Z] JVM_OPTIONS: [2025-05-01T00:05:38.642Z] { \ [2025-05-01T00:05:38.642Z] echo ""; echo "TEST SETUP:"; \ [2025-05-01T00:05:38.642Z] echo "Nothing to be done for setup."; \ [2025-05-01T00:05:38.642Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17460570035942/renaissance-movie-lens_0"; \ [2025-05-01T00:05:38.642Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17460570035942/renaissance-movie-lens_0"; \ [2025-05-01T00:05:38.642Z] echo ""; echo "TESTING:"; \ [2025-05-01T00:05:38.642Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/jdkbinary/j2sdk-image/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 "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17460570035942/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-05-01T00:05:38.643Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17460570035942/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-05-01T00:05:38.643Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-05-01T00:05:38.643Z] echo "Nothing to be done for teardown."; \ [2025-05-01T00:05:38.643Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17460570035942/TestTargetResult"; [2025-05-01T00:05:38.643Z] [2025-05-01T00:05:38.643Z] TEST SETUP: [2025-05-01T00:05:38.643Z] Nothing to be done for setup. [2025-05-01T00:05:38.643Z] [2025-05-01T00:05:38.643Z] TESTING: [2025-05-01T00:05:42.226Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-05-01T00:05:48.371Z] 00:05:47.618 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-05-01T00:05:50.047Z] Got 100004 ratings from 671 users on 9066 movies. [2025-05-01T00:05:50.862Z] Training: 60056, validation: 20285, test: 19854 [2025-05-01T00:05:50.862Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-05-01T00:05:50.862Z] GC before operation: completed in 90.332 ms, heap usage 193.587 MB -> 76.072 MB. [2025-05-01T00:05:56.780Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-01T00:06:00.375Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-01T00:06:02.981Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-01T00:06:05.590Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-01T00:06:07.262Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-01T00:06:08.933Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-01T00:06:10.614Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-01T00:06:12.302Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-01T00:06:12.302Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-05-01T00:06:12.302Z] The best model improves the baseline by 14.52%. [2025-05-01T00:06:12.302Z] Top recommended movies for user id 72: [2025-05-01T00:06:12.302Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-01T00:06:12.302Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-01T00:06:12.302Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-01T00:06:12.302Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-01T00:06:12.302Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-01T00:06:12.302Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (21600.756 ms) ====== [2025-05-01T00:06:12.302Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-05-01T00:06:12.302Z] GC before operation: completed in 115.772 ms, heap usage 627.572 MB -> 94.799 MB. [2025-05-01T00:06:15.907Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-01T00:06:18.520Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-01T00:06:21.123Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-01T00:06:22.805Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-01T00:06:24.491Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-01T00:06:26.168Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-01T00:06:27.852Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-01T00:06:29.536Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-01T00:06:29.536Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-05-01T00:06:29.536Z] The best model improves the baseline by 14.52%. [2025-05-01T00:06:29.536Z] Top recommended movies for user id 72: [2025-05-01T00:06:29.536Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-01T00:06:29.536Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-01T00:06:29.536Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-01T00:06:29.536Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-01T00:06:29.536Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-01T00:06:29.536Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (16841.599 ms) ====== [2025-05-01T00:06:29.536Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-05-01T00:06:29.536Z] GC before operation: completed in 105.486 ms, heap usage 233.768 MB -> 90.841 MB. [2025-05-01T00:06:32.141Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-01T00:06:35.810Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-01T00:06:38.417Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-01T00:06:40.092Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-01T00:06:42.705Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-01T00:06:43.517Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-01T00:06:45.755Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-01T00:06:46.567Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-01T00:06:46.567Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-05-01T00:06:46.567Z] The best model improves the baseline by 14.52%. [2025-05-01T00:06:46.567Z] Top recommended movies for user id 72: [2025-05-01T00:06:46.567Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-01T00:06:46.567Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-01T00:06:46.567Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-01T00:06:46.567Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-01T00:06:46.567Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-01T00:06:46.567Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (17282.971 ms) ====== [2025-05-01T00:06:46.567Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-05-01T00:06:47.391Z] GC before operation: completed in 104.424 ms, heap usage 225.964 MB -> 94.743 MB. [2025-05-01T00:06:49.066Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-01T00:06:51.671Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-01T00:06:54.335Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-01T00:06:56.014Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-01T00:06:57.690Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-01T00:06:59.369Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-01T00:07:00.182Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-01T00:07:01.861Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-01T00:07:01.861Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-05-01T00:07:01.861Z] The best model improves the baseline by 14.52%. [2025-05-01T00:07:01.861Z] Top recommended movies for user id 72: [2025-05-01T00:07:01.861Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-01T00:07:01.861Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-01T00:07:01.861Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-01T00:07:01.861Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-01T00:07:01.861Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-01T00:07:01.861Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (15218.483 ms) ====== [2025-05-01T00:07:01.861Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-05-01T00:07:02.674Z] GC before operation: completed in 103.281 ms, heap usage 193.704 MB -> 92.949 MB. [2025-05-01T00:07:04.374Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-01T00:07:06.978Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-01T00:07:09.577Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-01T00:07:11.254Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-01T00:07:12.936Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-01T00:07:14.614Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-01T00:07:16.293Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-01T00:07:17.114Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-01T00:07:17.930Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-05-01T00:07:17.930Z] The best model improves the baseline by 14.52%. [2025-05-01T00:07:17.930Z] Top recommended movies for user id 72: [2025-05-01T00:07:17.930Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-01T00:07:17.930Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-01T00:07:17.930Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-01T00:07:17.930Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-01T00:07:17.930Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-01T00:07:17.930Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (15503.581 ms) ====== [2025-05-01T00:07:17.930Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-05-01T00:07:17.930Z] GC before operation: completed in 101.056 ms, heap usage 381.166 MB -> 92.396 MB. [2025-05-01T00:07:20.528Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-01T00:07:22.219Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-01T00:07:24.823Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-01T00:07:27.433Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-01T00:07:28.242Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-01T00:07:29.919Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-01T00:07:30.733Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-01T00:07:32.414Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-01T00:07:32.414Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-05-01T00:07:32.414Z] The best model improves the baseline by 14.52%. [2025-05-01T00:07:32.414Z] Top recommended movies for user id 72: [2025-05-01T00:07:32.414Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-01T00:07:32.414Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-01T00:07:32.414Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-01T00:07:32.414Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-01T00:07:32.414Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-01T00:07:32.414Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (14849.151 ms) ====== [2025-05-01T00:07:32.414Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-05-01T00:07:33.233Z] GC before operation: completed in 100.998 ms, heap usage 368.543 MB -> 92.456 MB. [2025-05-01T00:07:34.910Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-01T00:07:37.517Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-01T00:07:39.199Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-01T00:07:40.880Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-01T00:07:42.573Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-01T00:07:43.386Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-01T00:07:45.066Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-01T00:07:46.745Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-01T00:07:46.745Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-05-01T00:07:46.745Z] The best model improves the baseline by 14.52%. [2025-05-01T00:07:46.745Z] Top recommended movies for user id 72: [2025-05-01T00:07:46.745Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-01T00:07:46.745Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-01T00:07:46.745Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-01T00:07:46.745Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-01T00:07:46.745Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-01T00:07:46.745Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (13841.789 ms) ====== [2025-05-01T00:07:46.745Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-05-01T00:07:46.745Z] GC before operation: completed in 110.491 ms, heap usage 184.525 MB -> 89.968 MB. [2025-05-01T00:07:48.984Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-01T00:07:50.661Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-01T00:07:53.263Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-01T00:07:55.053Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-01T00:07:55.863Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-01T00:07:57.549Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-01T00:07:59.235Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-01T00:08:00.053Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-01T00:08:00.053Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-05-01T00:08:00.053Z] The best model improves the baseline by 14.52%. [2025-05-01T00:08:00.053Z] Top recommended movies for user id 72: [2025-05-01T00:08:00.053Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-01T00:08:00.053Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-01T00:08:00.053Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-01T00:08:00.053Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-01T00:08:00.053Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-01T00:08:00.053Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (13632.506 ms) ====== [2025-05-01T00:08:00.053Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-05-01T00:08:00.863Z] GC before operation: completed in 111.997 ms, heap usage 216.686 MB -> 90.102 MB. [2025-05-01T00:08:02.544Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-01T00:08:05.146Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-01T00:08:06.820Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-01T00:08:08.502Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-01T00:08:10.178Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-01T00:08:10.991Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-01T00:08:12.670Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-01T00:08:13.491Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-01T00:08:14.311Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-05-01T00:08:14.311Z] The best model improves the baseline by 14.52%. [2025-05-01T00:08:14.311Z] Top recommended movies for user id 72: [2025-05-01T00:08:14.311Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-01T00:08:14.311Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-01T00:08:14.311Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-01T00:08:14.311Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-01T00:08:14.311Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-01T00:08:14.311Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (13729.840 ms) ====== [2025-05-01T00:08:14.311Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-05-01T00:08:14.311Z] GC before operation: completed in 103.064 ms, heap usage 532.732 MB -> 90.549 MB. [2025-05-01T00:08:16.915Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-01T00:08:18.596Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-01T00:08:20.277Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-01T00:08:22.883Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-01T00:08:23.702Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-01T00:08:25.388Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-01T00:08:26.202Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-01T00:08:27.876Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-01T00:08:27.876Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-05-01T00:08:27.876Z] The best model improves the baseline by 14.52%. [2025-05-01T00:08:27.876Z] Top recommended movies for user id 72: [2025-05-01T00:08:27.876Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-01T00:08:27.876Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-01T00:08:27.876Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-01T00:08:27.876Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-01T00:08:27.876Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-01T00:08:27.876Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (13580.423 ms) ====== [2025-05-01T00:08:27.876Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-05-01T00:08:27.877Z] GC before operation: completed in 114.233 ms, heap usage 369.405 MB -> 90.514 MB. [2025-05-01T00:08:30.479Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-01T00:08:32.154Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-01T00:08:34.758Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-01T00:08:36.446Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-01T00:08:37.260Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-01T00:08:38.944Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-01T00:08:39.757Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-01T00:08:41.442Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-01T00:08:41.442Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-05-01T00:08:41.442Z] The best model improves the baseline by 14.52%. [2025-05-01T00:08:41.442Z] Top recommended movies for user id 72: [2025-05-01T00:08:41.442Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-01T00:08:41.442Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-01T00:08:41.442Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-01T00:08:41.442Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-01T00:08:41.442Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-01T00:08:41.442Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (13547.001 ms) ====== [2025-05-01T00:08:41.442Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-05-01T00:08:41.442Z] GC before operation: completed in 112.111 ms, heap usage 446.095 MB -> 90.234 MB. [2025-05-01T00:08:44.048Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-01T00:08:45.731Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-01T00:08:48.342Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-01T00:08:49.719Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-01T00:08:51.400Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-01T00:08:52.218Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-01T00:08:53.898Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-01T00:08:54.715Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-01T00:08:55.527Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-05-01T00:08:55.528Z] The best model improves the baseline by 14.52%. [2025-05-01T00:08:55.528Z] Top recommended movies for user id 72: [2025-05-01T00:08:55.528Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-01T00:08:55.528Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-01T00:08:55.528Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-01T00:08:55.528Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-01T00:08:55.528Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-01T00:08:55.528Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (13620.288 ms) ====== [2025-05-01T00:08:55.528Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-05-01T00:08:55.528Z] GC before operation: completed in 105.809 ms, heap usage 452.646 MB -> 90.494 MB. [2025-05-01T00:08:57.225Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-01T00:08:59.833Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-01T00:09:01.523Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-01T00:09:04.124Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-01T00:09:04.943Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-01T00:09:06.624Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-01T00:09:07.436Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-01T00:09:09.113Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-01T00:09:09.113Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-05-01T00:09:09.113Z] The best model improves the baseline by 14.52%. [2025-05-01T00:09:09.113Z] Top recommended movies for user id 72: [2025-05-01T00:09:09.114Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-01T00:09:09.114Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-01T00:09:09.114Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-01T00:09:09.114Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-01T00:09:09.114Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-01T00:09:09.114Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (13779.404 ms) ====== [2025-05-01T00:09:09.114Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-05-01T00:09:09.114Z] GC before operation: completed in 97.509 ms, heap usage 369.863 MB -> 90.408 MB. [2025-05-01T00:09:11.723Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-01T00:09:13.399Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-01T00:09:16.004Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-01T00:09:17.688Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-01T00:09:18.503Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-01T00:09:20.179Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-01T00:09:20.994Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-01T00:09:22.673Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-01T00:09:22.673Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-05-01T00:09:22.673Z] The best model improves the baseline by 14.52%. [2025-05-01T00:09:22.673Z] Top recommended movies for user id 72: [2025-05-01T00:09:22.673Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-01T00:09:22.673Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-01T00:09:22.673Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-01T00:09:22.673Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-01T00:09:22.673Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-01T00:09:22.673Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (13550.888 ms) ====== [2025-05-01T00:09:22.673Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-05-01T00:09:22.673Z] GC before operation: completed in 97.708 ms, heap usage 121.406 MB -> 89.957 MB. [2025-05-01T00:09:25.283Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-01T00:09:26.963Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-01T00:09:29.580Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-01T00:09:31.256Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-01T00:09:32.075Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-01T00:09:33.754Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-01T00:09:34.568Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-01T00:09:36.243Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-01T00:09:36.243Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-05-01T00:09:36.243Z] The best model improves the baseline by 14.52%. [2025-05-01T00:09:36.243Z] Top recommended movies for user id 72: [2025-05-01T00:09:36.243Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-01T00:09:36.243Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-01T00:09:36.243Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-01T00:09:36.243Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-01T00:09:36.243Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-01T00:09:36.243Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (13533.268 ms) ====== [2025-05-01T00:09:36.243Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-05-01T00:09:36.243Z] GC before operation: completed in 98.550 ms, heap usage 489.627 MB -> 90.737 MB. [2025-05-01T00:09:38.852Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-01T00:09:40.535Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-01T00:09:43.141Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-01T00:09:44.824Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-01T00:09:46.501Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-01T00:09:47.315Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-01T00:09:48.995Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-01T00:09:51.256Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-01T00:09:51.256Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-05-01T00:09:51.256Z] The best model improves the baseline by 14.52%. [2025-05-01T00:09:51.256Z] Top recommended movies for user id 72: [2025-05-01T00:09:51.256Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-01T00:09:51.256Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-01T00:09:51.256Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-01T00:09:51.256Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-01T00:09:51.256Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-01T00:09:51.256Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14027.641 ms) ====== [2025-05-01T00:09:51.256Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-05-01T00:09:51.256Z] GC before operation: completed in 100.698 ms, heap usage 197.587 MB -> 90.127 MB. [2025-05-01T00:09:52.932Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-01T00:09:55.533Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-01T00:09:58.145Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-01T00:09:59.821Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-01T00:10:01.503Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-01T00:10:02.315Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-01T00:10:03.995Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-01T00:10:05.682Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-01T00:10:05.682Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-05-01T00:10:05.682Z] The best model improves the baseline by 14.52%. [2025-05-01T00:10:05.682Z] Top recommended movies for user id 72: [2025-05-01T00:10:05.682Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-01T00:10:05.682Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-01T00:10:05.682Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-01T00:10:05.682Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-01T00:10:05.682Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-01T00:10:05.682Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14900.130 ms) ====== [2025-05-01T00:10:05.682Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-05-01T00:10:05.682Z] GC before operation: completed in 105.832 ms, heap usage 554.266 MB -> 93.979 MB. [2025-05-01T00:10:08.430Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-01T00:10:10.117Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-01T00:10:12.719Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-01T00:10:14.402Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-01T00:10:16.085Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-01T00:10:16.898Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-01T00:10:18.579Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-01T00:10:20.251Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-01T00:10:20.251Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-05-01T00:10:20.251Z] The best model improves the baseline by 14.52%. [2025-05-01T00:10:20.251Z] Top recommended movies for user id 72: [2025-05-01T00:10:20.251Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-01T00:10:20.252Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-01T00:10:20.252Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-01T00:10:20.252Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-01T00:10:20.252Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-01T00:10:20.252Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14442.366 ms) ====== [2025-05-01T00:10:20.252Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-05-01T00:10:20.252Z] GC before operation: completed in 111.336 ms, heap usage 173.950 MB -> 93.033 MB. [2025-05-01T00:10:22.365Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-01T00:10:25.426Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-01T00:10:27.178Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-01T00:10:38.178Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-01T00:10:38.178Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-01T00:10:38.178Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-01T00:10:38.178Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-01T00:10:38.178Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-01T00:10:38.178Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-05-01T00:10:38.178Z] The best model improves the baseline by 14.52%. [2025-05-01T00:10:38.178Z] Top recommended movies for user id 72: [2025-05-01T00:10:38.178Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-01T00:10:38.178Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-01T00:10:38.178Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-01T00:10:38.178Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-01T00:10:38.178Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-01T00:10:38.178Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14063.739 ms) ====== [2025-05-01T00:10:38.178Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-05-01T00:10:38.178Z] GC before operation: completed in 110.688 ms, heap usage 503.450 MB -> 92.855 MB. [2025-05-01T00:10:38.178Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-01T00:10:39.019Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-01T00:10:48.092Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-01T00:10:48.935Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-01T00:10:48.935Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-01T00:10:48.935Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-01T00:10:48.935Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-01T00:10:48.935Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-01T00:10:48.935Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-05-01T00:10:48.935Z] The best model improves the baseline by 14.52%. [2025-05-01T00:10:48.935Z] Top recommended movies for user id 72: [2025-05-01T00:10:48.935Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-01T00:10:48.935Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-01T00:10:48.935Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-01T00:10:48.935Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-01T00:10:48.935Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-01T00:10:48.935Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14154.474 ms) ====== [2025-05-01T00:10:48.935Z] ----------------------------------- [2025-05-01T00:10:48.935Z] renaissance-movie-lens_0_PASSED [2025-05-01T00:10:48.935Z] ----------------------------------- [2025-05-01T00:10:48.935Z] [2025-05-01T00:10:48.935Z] TEST TEARDOWN: [2025-05-01T00:10:48.935Z] Nothing to be done for teardown. [2025-05-01T00:10:48.935Z] renaissance-movie-lens_0 Finish Time: Thu May 1 00:10:48 2025 Epoch Time (ms): 1746058248691