renaissance-movie-lens_0
[2025-08-01T22:01:33.201Z] Running test renaissance-movie-lens_0 ...
[2025-08-01T22:01:33.201Z] ===============================================
[2025-08-01T22:01:33.201Z] renaissance-movie-lens_0 Start Time: Fri Aug 1 22:01:32 2025 Epoch Time (ms): 1754085692239
[2025-08-01T22:01:33.201Z] variation: NoOptions
[2025-08-01T22:01:33.201Z] JVM_OPTIONS:
[2025-08-01T22:01:33.201Z] { \
[2025-08-01T22:01:33.201Z] echo ""; echo "TEST SETUP:"; \
[2025-08-01T22:01:33.201Z] echo "Nothing to be done for setup."; \
[2025-08-01T22:01:33.201Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17540840498387/renaissance-movie-lens_0"; \
[2025-08-01T22:01:33.201Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17540840498387/renaissance-movie-lens_0"; \
[2025-08-01T22:01:33.201Z] echo ""; echo "TESTING:"; \
[2025-08-01T22:01:33.201Z] "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/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_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17540840498387/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-08-01T22:01:33.201Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17540840498387/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-08-01T22:01:33.201Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-08-01T22:01:33.201Z] echo "Nothing to be done for teardown."; \
[2025-08-01T22:01:33.201Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17540840498387/TestTargetResult";
[2025-08-01T22:01:33.201Z]
[2025-08-01T22:01:33.201Z] TEST SETUP:
[2025-08-01T22:01:33.201Z] Nothing to be done for setup.
[2025-08-01T22:01:33.201Z]
[2025-08-01T22:01:33.201Z] TESTING:
[2025-08-01T22:01:41.548Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 24) threads.
[2025-08-01T22:01:55.384Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-08-01T22:01:56.165Z] Training: 60056, validation: 20285, test: 19854
[2025-08-01T22:01:56.165Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-08-01T22:01:56.946Z] GC before operation: completed in 191.289 ms, heap usage 527.008 MB -> 75.373 MB.
[2025-08-01T22:02:03.874Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T22:02:08.415Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T22:02:12.912Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T22:02:16.374Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T22:02:19.829Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T22:02:21.435Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T22:02:23.930Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T22:02:26.421Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T22:02:27.203Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-08-01T22:02:27.203Z] The best model improves the baseline by 14.43%.
[2025-08-01T22:02:27.981Z] Top recommended movies for user id 72:
[2025-08-01T22:02:27.981Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-01T22:02:27.981Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-01T22:02:27.981Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-01T22:02:27.981Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-01T22:02:27.981Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-01T22:02:27.981Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (30890.486 ms) ======
[2025-08-01T22:02:27.981Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-08-01T22:02:27.981Z] GC before operation: completed in 239.374 ms, heap usage 306.472 MB -> 87.952 MB.
[2025-08-01T22:02:32.483Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T22:02:36.338Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T22:02:39.825Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T22:02:43.291Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T22:02:45.795Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T22:02:48.287Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T22:02:50.783Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T22:02:53.275Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T22:02:53.275Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-08-01T22:02:53.275Z] The best model improves the baseline by 14.43%.
[2025-08-01T22:02:54.060Z] Top recommended movies for user id 72:
[2025-08-01T22:02:54.060Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-01T22:02:54.060Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-01T22:02:54.060Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-01T22:02:54.060Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-01T22:02:54.060Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-01T22:02:54.060Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (25997.541 ms) ======
[2025-08-01T22:02:54.060Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-08-01T22:02:54.060Z] GC before operation: completed in 188.440 ms, heap usage 206.053 MB -> 90.692 MB.
[2025-08-01T22:02:57.526Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T22:03:02.035Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T22:03:05.503Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T22:03:08.955Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T22:03:11.446Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T22:03:13.956Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T22:03:15.562Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T22:03:18.059Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T22:03:18.059Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-08-01T22:03:18.059Z] The best model improves the baseline by 14.43%.
[2025-08-01T22:03:18.844Z] Top recommended movies for user id 72:
[2025-08-01T22:03:18.844Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-01T22:03:18.844Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-01T22:03:18.844Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-01T22:03:18.844Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-01T22:03:18.844Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-01T22:03:18.844Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (24612.816 ms) ======
[2025-08-01T22:03:18.844Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-08-01T22:03:18.844Z] GC before operation: completed in 248.258 ms, heap usage 225.744 MB -> 91.430 MB.
[2025-08-01T22:03:22.521Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T22:03:25.973Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T22:03:30.483Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T22:03:33.939Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T22:03:35.555Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T22:03:38.058Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T22:03:40.558Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T22:03:42.184Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T22:03:42.995Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-08-01T22:03:42.995Z] The best model improves the baseline by 14.43%.
[2025-08-01T22:03:42.995Z] Top recommended movies for user id 72:
[2025-08-01T22:03:42.995Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-01T22:03:42.995Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-01T22:03:42.995Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-01T22:03:42.995Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-01T22:03:42.995Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-01T22:03:42.995Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (24194.537 ms) ======
[2025-08-01T22:03:42.995Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-08-01T22:03:42.995Z] GC before operation: completed in 184.236 ms, heap usage 750.445 MB -> 95.518 MB.
[2025-08-01T22:03:47.507Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T22:03:50.962Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T22:03:54.418Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T22:03:58.073Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T22:03:59.695Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T22:04:01.354Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T22:04:03.847Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T22:04:06.351Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T22:04:06.351Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-08-01T22:04:06.351Z] The best model improves the baseline by 14.43%.
[2025-08-01T22:04:07.129Z] Top recommended movies for user id 72:
[2025-08-01T22:04:07.129Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-01T22:04:07.129Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-01T22:04:07.129Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-01T22:04:07.129Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-01T22:04:07.129Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-01T22:04:07.129Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (23538.051 ms) ======
[2025-08-01T22:04:07.129Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-08-01T22:04:07.129Z] GC before operation: completed in 256.114 ms, heap usage 349.954 MB -> 91.751 MB.
[2025-08-01T22:04:10.584Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T22:04:14.217Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T22:04:17.673Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T22:04:21.133Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T22:04:23.626Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T22:04:26.122Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T22:04:27.741Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T22:04:30.241Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T22:04:31.019Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-08-01T22:04:31.019Z] The best model improves the baseline by 14.43%.
[2025-08-01T22:04:31.019Z] Top recommended movies for user id 72:
[2025-08-01T22:04:31.019Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-01T22:04:31.019Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-01T22:04:31.019Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-01T22:04:31.020Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-01T22:04:31.020Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-01T22:04:31.020Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (23821.403 ms) ======
[2025-08-01T22:04:31.020Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-08-01T22:04:31.020Z] GC before operation: completed in 235.027 ms, heap usage 557.983 MB -> 92.266 MB.
[2025-08-01T22:04:34.480Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T22:04:38.011Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T22:04:42.515Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T22:04:45.022Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T22:04:47.516Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T22:04:50.021Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T22:04:52.520Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T22:04:54.144Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T22:04:54.923Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-08-01T22:04:54.923Z] The best model improves the baseline by 14.43%.
[2025-08-01T22:04:54.923Z] Top recommended movies for user id 72:
[2025-08-01T22:04:54.923Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-01T22:04:54.923Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-01T22:04:54.923Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-01T22:04:54.923Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-01T22:04:54.923Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-01T22:04:54.923Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (23690.814 ms) ======
[2025-08-01T22:04:54.923Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-08-01T22:04:54.923Z] GC before operation: completed in 220.071 ms, heap usage 524.201 MB -> 92.180 MB.
[2025-08-01T22:04:58.377Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T22:05:02.888Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T22:05:06.366Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T22:05:09.833Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T22:05:11.441Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T22:05:13.939Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T22:05:16.629Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T22:05:18.234Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T22:05:19.014Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-08-01T22:05:19.014Z] The best model improves the baseline by 14.43%.
[2025-08-01T22:05:19.014Z] Top recommended movies for user id 72:
[2025-08-01T22:05:19.014Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-01T22:05:19.014Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-01T22:05:19.015Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-01T22:05:19.015Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-01T22:05:19.015Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-01T22:05:19.015Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (23869.105 ms) ======
[2025-08-01T22:05:19.015Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-08-01T22:05:19.015Z] GC before operation: completed in 185.623 ms, heap usage 831.540 MB -> 96.012 MB.
[2025-08-01T22:05:22.472Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T22:05:25.927Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T22:05:30.449Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T22:05:33.913Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T22:05:35.517Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T22:05:38.011Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T22:05:40.517Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T22:05:42.127Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T22:05:42.904Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-08-01T22:05:42.904Z] The best model improves the baseline by 14.43%.
[2025-08-01T22:05:42.904Z] Top recommended movies for user id 72:
[2025-08-01T22:05:42.904Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-01T22:05:42.904Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-01T22:05:42.904Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-01T22:05:42.904Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-01T22:05:42.904Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-01T22:05:42.905Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (23790.558 ms) ======
[2025-08-01T22:05:42.905Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-08-01T22:05:42.905Z] GC before operation: completed in 238.657 ms, heap usage 812.386 MB -> 95.790 MB.
[2025-08-01T22:05:47.427Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T22:05:50.880Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T22:05:54.545Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T22:05:57.999Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T22:05:59.605Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T22:06:02.115Z] RMSE (validation) = 1.117495376637101 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T22:06:04.626Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T22:06:06.234Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T22:06:07.010Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-08-01T22:06:07.010Z] The best model improves the baseline by 14.43%.
[2025-08-01T22:06:07.010Z] Top recommended movies for user id 72:
[2025-08-01T22:06:07.010Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-01T22:06:07.010Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-01T22:06:07.010Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-01T22:06:07.010Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-01T22:06:07.010Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-01T22:06:07.010Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (23907.786 ms) ======
[2025-08-01T22:06:07.010Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-08-01T22:06:07.010Z] GC before operation: completed in 206.114 ms, heap usage 449.174 MB -> 92.374 MB.
[2025-08-01T22:06:11.522Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T22:06:14.999Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T22:06:18.514Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T22:06:21.978Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T22:06:23.587Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T22:06:26.088Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T22:06:28.589Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T22:06:30.197Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T22:06:30.987Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-08-01T22:06:30.987Z] The best model improves the baseline by 14.43%.
[2025-08-01T22:06:30.987Z] Top recommended movies for user id 72:
[2025-08-01T22:06:30.987Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-01T22:06:30.987Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-01T22:06:30.987Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-01T22:06:30.987Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-01T22:06:30.987Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-01T22:06:30.987Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (23871.188 ms) ======
[2025-08-01T22:06:30.987Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-08-01T22:06:30.987Z] GC before operation: completed in 191.056 ms, heap usage 192.212 MB -> 91.818 MB.
[2025-08-01T22:06:34.632Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T22:06:39.135Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T22:06:42.651Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T22:06:46.121Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T22:06:47.727Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T22:06:50.234Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T22:06:52.731Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T22:06:54.351Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T22:06:55.129Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-08-01T22:06:55.129Z] The best model improves the baseline by 14.43%.
[2025-08-01T22:06:55.129Z] Top recommended movies for user id 72:
[2025-08-01T22:06:55.129Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-01T22:06:55.129Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-01T22:06:55.129Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-01T22:06:55.129Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-01T22:06:55.129Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-01T22:06:55.129Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (23787.179 ms) ======
[2025-08-01T22:06:55.129Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-08-01T22:06:55.129Z] GC before operation: completed in 257.191 ms, heap usage 569.942 MB -> 92.385 MB.
[2025-08-01T22:06:59.632Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T22:07:03.090Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T22:07:06.550Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T22:07:10.013Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T22:07:11.810Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T22:07:14.315Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T22:07:16.817Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T22:07:18.426Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T22:07:19.204Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-08-01T22:07:19.204Z] The best model improves the baseline by 14.43%.
[2025-08-01T22:07:19.204Z] Top recommended movies for user id 72:
[2025-08-01T22:07:19.204Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-01T22:07:19.204Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-01T22:07:19.204Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-01T22:07:19.204Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-01T22:07:19.204Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-01T22:07:19.204Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (23861.996 ms) ======
[2025-08-01T22:07:19.204Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-08-01T22:07:19.204Z] GC before operation: completed in 223.642 ms, heap usage 512.916 MB -> 92.599 MB.
[2025-08-01T22:07:23.710Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T22:07:26.218Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T22:07:30.725Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T22:07:34.183Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T22:07:35.789Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T22:07:38.289Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T22:07:40.787Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T22:07:42.401Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T22:07:43.179Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-08-01T22:07:43.179Z] The best model improves the baseline by 14.43%.
[2025-08-01T22:07:43.179Z] Top recommended movies for user id 72:
[2025-08-01T22:07:43.179Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-01T22:07:43.179Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-01T22:07:43.179Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-01T22:07:43.179Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-01T22:07:43.179Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-01T22:07:43.179Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (23646.141 ms) ======
[2025-08-01T22:07:43.179Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-08-01T22:07:43.180Z] GC before operation: completed in 200.285 ms, heap usage 646.866 MB -> 92.523 MB.
[2025-08-01T22:07:46.634Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T22:07:50.301Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T22:07:54.803Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T22:07:58.268Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T22:07:59.873Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T22:08:02.367Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T22:08:04.872Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T22:08:06.488Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T22:08:07.266Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-08-01T22:08:07.266Z] The best model improves the baseline by 14.43%.
[2025-08-01T22:08:07.266Z] Top recommended movies for user id 72:
[2025-08-01T22:08:07.266Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-01T22:08:07.266Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-01T22:08:07.266Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-01T22:08:07.266Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-01T22:08:07.266Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-01T22:08:07.266Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (24078.379 ms) ======
[2025-08-01T22:08:07.266Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-08-01T22:08:07.266Z] GC before operation: completed in 231.638 ms, heap usage 439.820 MB -> 95.775 MB.
[2025-08-01T22:08:11.779Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T22:08:15.240Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T22:08:18.709Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T22:08:22.166Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T22:08:24.666Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T22:08:27.161Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T22:08:28.767Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T22:08:31.378Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T22:08:31.378Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-08-01T22:08:31.378Z] The best model improves the baseline by 14.43%.
[2025-08-01T22:08:32.155Z] Top recommended movies for user id 72:
[2025-08-01T22:08:32.155Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-01T22:08:32.155Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-01T22:08:32.155Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-01T22:08:32.155Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-01T22:08:32.155Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-01T22:08:32.155Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (24250.356 ms) ======
[2025-08-01T22:08:32.155Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-08-01T22:08:32.155Z] GC before operation: completed in 217.042 ms, heap usage 553.262 MB -> 92.478 MB.
[2025-08-01T22:08:35.620Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T22:08:39.076Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T22:08:42.642Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T22:08:46.106Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T22:08:48.605Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T22:08:51.125Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T22:08:52.733Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T22:08:55.246Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T22:08:56.027Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-08-01T22:08:56.027Z] The best model improves the baseline by 14.43%.
[2025-08-01T22:08:56.027Z] Top recommended movies for user id 72:
[2025-08-01T22:08:56.027Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-01T22:08:56.027Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-01T22:08:56.027Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-01T22:08:56.027Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-01T22:08:56.027Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-01T22:08:56.027Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (23876.286 ms) ======
[2025-08-01T22:08:56.027Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-08-01T22:08:56.027Z] GC before operation: completed in 220.143 ms, heap usage 1015.897 MB -> 96.260 MB.
[2025-08-01T22:08:59.490Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T22:09:02.947Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T22:09:07.466Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T22:09:10.161Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T22:09:12.833Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T22:09:15.333Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T22:09:17.827Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T22:09:19.437Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T22:09:20.214Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-08-01T22:09:20.214Z] The best model improves the baseline by 14.43%.
[2025-08-01T22:09:20.214Z] Top recommended movies for user id 72:
[2025-08-01T22:09:20.214Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-01T22:09:20.214Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-01T22:09:20.214Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-01T22:09:20.214Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-01T22:09:20.214Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-01T22:09:20.214Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (23973.138 ms) ======
[2025-08-01T22:09:20.214Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-08-01T22:09:20.214Z] GC before operation: completed in 183.098 ms, heap usage 474.433 MB -> 92.420 MB.
[2025-08-01T22:09:24.723Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T22:09:28.188Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T22:09:31.662Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T22:09:35.114Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T22:09:36.725Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T22:09:39.225Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T22:09:41.880Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T22:09:43.486Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T22:09:43.487Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-08-01T22:09:44.281Z] The best model improves the baseline by 14.43%.
[2025-08-01T22:09:44.281Z] Top recommended movies for user id 72:
[2025-08-01T22:09:44.281Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-01T22:09:44.281Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-01T22:09:44.281Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-01T22:09:44.281Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-01T22:09:44.281Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-01T22:09:44.281Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (23776.805 ms) ======
[2025-08-01T22:09:44.281Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-08-01T22:09:44.281Z] GC before operation: completed in 224.872 ms, heap usage 544.061 MB -> 92.527 MB.
[2025-08-01T22:09:47.963Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-01T22:09:51.427Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-01T22:09:54.896Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-01T22:09:58.354Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-01T22:10:00.859Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-01T22:10:02.470Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-01T22:10:04.965Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-01T22:10:07.459Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-01T22:10:07.459Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-08-01T22:10:07.459Z] The best model improves the baseline by 14.43%.
[2025-08-01T22:10:07.459Z] Top recommended movies for user id 72:
[2025-08-01T22:10:07.459Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-01T22:10:07.459Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-01T22:10:07.459Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-01T22:10:07.459Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-01T22:10:07.459Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-01T22:10:07.459Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (23414.091 ms) ======
[2025-08-01T22:10:08.237Z] -----------------------------------
[2025-08-01T22:10:08.237Z] renaissance-movie-lens_0_PASSED
[2025-08-01T22:10:08.237Z] -----------------------------------
[2025-08-01T22:10:08.237Z]
[2025-08-01T22:10:08.237Z] TEST TEARDOWN:
[2025-08-01T22:10:08.237Z] Nothing to be done for teardown.
[2025-08-01T22:10:08.237Z] renaissance-movie-lens_0 Finish Time: Fri Aug 1 22:10:08 2025 Epoch Time (ms): 1754086208005