[2025-05-16T23:09:36.094Z] Running test renaissance-movie-lens_0 ... [2025-05-16T23:09:36.094Z] =============================================== [2025-05-16T23:09:36.409Z] renaissance-movie-lens_0 Start Time: Fri May 16 23:09:36 2025 Epoch Time (ms): 1747436976094 [2025-05-16T23:09:36.409Z] variation: NoOptions [2025-05-16T23:09:36.409Z] JVM_OPTIONS: [2025-05-16T23:09:36.409Z] { \ [2025-05-16T23:09:36.409Z] echo ""; echo "TEST SETUP:"; \ [2025-05-16T23:09:36.409Z] echo "Nothing to be done for setup."; \ [2025-05-16T23:09:36.409Z] mkdir -p "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_1747435294828\\renaissance-movie-lens_0"; \ [2025-05-16T23:09:36.409Z] cd "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_1747435294828\\renaissance-movie-lens_0"; \ [2025-05-16T23:09:36.409Z] echo ""; echo "TESTING:"; \ [2025-05-16T23:09:36.409Z] "c:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/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 "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_1747435294828\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2025-05-16T23:09:36.409Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_1747435294828\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-05-16T23:09:36.409Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-05-16T23:09:36.409Z] echo "Nothing to be done for teardown."; \ [2025-05-16T23:09:36.409Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_1747435294828\\TestTargetResult"; [2025-05-16T23:09:36.409Z] [2025-05-16T23:09:36.409Z] TEST SETUP: [2025-05-16T23:09:36.409Z] Nothing to be done for setup. [2025-05-16T23:09:36.409Z] [2025-05-16T23:09:36.409Z] TESTING: [2025-05-16T23:09:51.895Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-05-16T23:09:57.789Z] 23:09:56.991 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-05-16T23:09:59.494Z] Got 100004 ratings from 671 users on 9066 movies. [2025-05-16T23:09:59.951Z] Training: 60056, validation: 20285, test: 19854 [2025-05-16T23:09:59.951Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-05-16T23:10:00.287Z] GC before operation: completed in 120.985 ms, heap usage 397.307 MB -> 75.987 MB. [2025-05-16T23:10:16.387Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T23:10:26.997Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T23:10:35.650Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T23:10:44.307Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T23:10:47.939Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T23:10:52.592Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T23:10:58.308Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T23:11:01.918Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T23:11:02.608Z] 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. [2025-05-16T23:11:02.608Z] The best model improves the baseline by 14.52%. [2025-05-16T23:11:02.933Z] Top recommended movies for user id 72: [2025-05-16T23:11:02.933Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-16T23:11:02.933Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-16T23:11:02.933Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-16T23:11:02.933Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-16T23:11:02.933Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-16T23:11:02.933Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (62821.559 ms) ====== [2025-05-16T23:11:02.933Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-05-16T23:11:02.933Z] GC before operation: completed in 121.277 ms, heap usage 239.892 MB -> 94.481 MB. [2025-05-16T23:11:11.589Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T23:11:18.640Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T23:11:27.316Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T23:11:34.362Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T23:11:38.951Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T23:11:43.506Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T23:11:48.163Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T23:11:51.809Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T23:11:52.513Z] 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. [2025-05-16T23:11:52.513Z] The best model improves the baseline by 14.52%. [2025-05-16T23:11:52.866Z] Top recommended movies for user id 72: [2025-05-16T23:11:52.866Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-16T23:11:52.866Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-16T23:11:52.866Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-16T23:11:52.866Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-16T23:11:52.866Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-16T23:11:52.866Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (49628.113 ms) ====== [2025-05-16T23:11:52.866Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-05-16T23:11:52.866Z] GC before operation: completed in 114.453 ms, heap usage 511.644 MB -> 92.928 MB. [2025-05-16T23:12:01.493Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T23:12:08.583Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T23:12:15.661Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T23:12:22.779Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T23:12:27.347Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T23:12:30.961Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T23:12:36.642Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T23:12:40.267Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T23:12:40.267Z] 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. [2025-05-16T23:12:40.267Z] The best model improves the baseline by 14.52%. [2025-05-16T23:12:40.598Z] Top recommended movies for user id 72: [2025-05-16T23:12:40.598Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-16T23:12:40.598Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-16T23:12:40.598Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-16T23:12:40.598Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-16T23:12:40.598Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-16T23:12:40.598Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (47838.644 ms) ====== [2025-05-16T23:12:40.598Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-05-16T23:12:40.917Z] GC before operation: completed in 108.420 ms, heap usage 190.316 MB -> 94.079 MB. [2025-05-16T23:12:49.559Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T23:12:56.627Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T23:13:05.250Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T23:13:12.322Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T23:13:16.908Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T23:13:20.523Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T23:13:26.229Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T23:13:29.853Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T23:13:30.183Z] 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. [2025-05-16T23:13:30.183Z] The best model improves the baseline by 14.52%. [2025-05-16T23:13:30.535Z] Top recommended movies for user id 72: [2025-05-16T23:13:30.535Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-16T23:13:30.535Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-16T23:13:30.535Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-16T23:13:30.535Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-16T23:13:30.535Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-16T23:13:30.535Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (49837.785 ms) ====== [2025-05-16T23:13:30.535Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-05-16T23:13:30.862Z] GC before operation: completed in 114.794 ms, heap usage 371.391 MB -> 90.006 MB. [2025-05-16T23:13:39.548Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T23:13:48.217Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T23:13:56.834Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T23:14:03.868Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T23:14:07.480Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T23:14:12.041Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T23:14:16.631Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T23:14:21.263Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T23:14:21.263Z] 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. [2025-05-16T23:14:21.263Z] The best model improves the baseline by 14.52%. [2025-05-16T23:14:21.263Z] Top recommended movies for user id 72: [2025-05-16T23:14:21.263Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-16T23:14:21.263Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-16T23:14:21.263Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-16T23:14:21.263Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-16T23:14:21.263Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-16T23:14:21.263Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (50616.767 ms) ====== [2025-05-16T23:14:21.263Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-05-16T23:14:21.583Z] GC before operation: completed in 109.195 ms, heap usage 248.916 MB -> 92.894 MB. [2025-05-16T23:14:30.212Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T23:14:35.944Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T23:14:44.559Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T23:14:51.612Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T23:14:56.175Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T23:14:59.777Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T23:15:05.459Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T23:15:09.085Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T23:15:09.085Z] 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. [2025-05-16T23:15:09.085Z] The best model improves the baseline by 14.52%. [2025-05-16T23:15:09.424Z] Top recommended movies for user id 72: [2025-05-16T23:15:09.424Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-16T23:15:09.424Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-16T23:15:09.424Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-16T23:15:09.424Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-16T23:15:09.424Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-16T23:15:09.424Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (48050.485 ms) ====== [2025-05-16T23:15:09.424Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-05-16T23:15:09.749Z] GC before operation: completed in 109.143 ms, heap usage 174.108 MB -> 93.248 MB. [2025-05-16T23:15:18.375Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T23:15:25.423Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T23:15:34.092Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T23:15:41.120Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T23:15:44.749Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T23:15:49.319Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T23:15:53.910Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T23:15:57.529Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T23:15:57.934Z] 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. [2025-05-16T23:15:57.934Z] The best model improves the baseline by 14.52%. [2025-05-16T23:15:57.934Z] Top recommended movies for user id 72: [2025-05-16T23:15:57.934Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-16T23:15:57.934Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-16T23:15:57.934Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-16T23:15:57.934Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-16T23:15:57.934Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-16T23:15:57.934Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (48389.735 ms) ====== [2025-05-16T23:15:57.934Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-05-16T23:15:58.258Z] GC before operation: completed in 120.587 ms, heap usage 269.414 MB -> 96.862 MB. [2025-05-16T23:16:05.283Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T23:16:12.356Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T23:16:21.002Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T23:16:28.013Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T23:16:31.660Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T23:16:35.271Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T23:16:39.845Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T23:16:43.476Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T23:16:44.149Z] 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. [2025-05-16T23:16:44.149Z] The best model improves the baseline by 14.52%. [2025-05-16T23:16:44.468Z] Top recommended movies for user id 72: [2025-05-16T23:16:44.468Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-16T23:16:44.468Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-16T23:16:44.468Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-16T23:16:44.468Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-16T23:16:44.468Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-16T23:16:44.468Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (46303.625 ms) ====== [2025-05-16T23:16:44.468Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-05-16T23:16:44.468Z] GC before operation: completed in 107.049 ms, heap usage 271.006 MB -> 90.316 MB. [2025-05-16T23:16:53.079Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T23:16:58.790Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T23:17:07.465Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T23:17:14.487Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T23:17:17.311Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T23:17:21.905Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T23:17:26.476Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T23:17:30.100Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T23:17:30.780Z] 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. [2025-05-16T23:17:30.780Z] The best model improves the baseline by 14.52%. [2025-05-16T23:17:31.105Z] Top recommended movies for user id 72: [2025-05-16T23:17:31.105Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-16T23:17:31.105Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-16T23:17:31.105Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-16T23:17:31.105Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-16T23:17:31.105Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-16T23:17:31.105Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (46531.172 ms) ====== [2025-05-16T23:17:31.105Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-05-16T23:17:31.105Z] GC before operation: completed in 107.879 ms, heap usage 483.800 MB -> 90.491 MB. [2025-05-16T23:17:38.146Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T23:17:45.196Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T23:17:53.807Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T23:18:00.851Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T23:18:04.481Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T23:18:08.091Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T23:18:12.641Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T23:18:17.258Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T23:18:17.258Z] 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. [2025-05-16T23:18:17.258Z] The best model improves the baseline by 14.52%. [2025-05-16T23:18:17.258Z] Top recommended movies for user id 72: [2025-05-16T23:18:17.258Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-16T23:18:17.258Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-16T23:18:17.258Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-16T23:18:17.258Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-16T23:18:17.258Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-16T23:18:17.258Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (46142.755 ms) ====== [2025-05-16T23:18:17.258Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-05-16T23:18:17.581Z] GC before operation: completed in 124.680 ms, heap usage 264.529 MB -> 90.450 MB. [2025-05-16T23:18:26.264Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T23:18:34.890Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T23:18:41.983Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T23:18:49.018Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T23:18:53.572Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T23:18:57.192Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T23:19:01.757Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T23:19:06.377Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T23:19:06.786Z] 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. [2025-05-16T23:19:06.786Z] The best model improves the baseline by 14.52%. [2025-05-16T23:19:06.786Z] Top recommended movies for user id 72: [2025-05-16T23:19:06.786Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-16T23:19:06.786Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-16T23:19:06.786Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-16T23:19:06.786Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-16T23:19:06.786Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-16T23:19:06.786Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (49425.651 ms) ====== [2025-05-16T23:19:06.786Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-05-16T23:19:07.119Z] GC before operation: completed in 104.213 ms, heap usage 374.302 MB -> 90.213 MB. [2025-05-16T23:19:15.798Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T23:19:24.452Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T23:19:33.139Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T23:19:38.870Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T23:19:43.476Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T23:19:47.106Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T23:19:51.680Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T23:19:55.298Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T23:19:55.976Z] 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. [2025-05-16T23:19:55.976Z] The best model improves the baseline by 14.52%. [2025-05-16T23:19:56.297Z] Top recommended movies for user id 72: [2025-05-16T23:19:56.297Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-16T23:19:56.297Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-16T23:19:56.297Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-16T23:19:56.297Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-16T23:19:56.297Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-16T23:19:56.297Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (49360.172 ms) ====== [2025-05-16T23:19:56.297Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-05-16T23:19:56.297Z] GC before operation: completed in 108.452 ms, heap usage 220.780 MB -> 92.521 MB. [2025-05-16T23:20:04.937Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T23:20:11.957Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T23:20:19.075Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T23:20:26.100Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T23:20:30.644Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T23:20:34.250Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T23:20:38.870Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T23:20:43.442Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T23:20:43.442Z] 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. [2025-05-16T23:20:43.442Z] The best model improves the baseline by 14.52%. [2025-05-16T23:20:43.770Z] Top recommended movies for user id 72: [2025-05-16T23:20:43.770Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-16T23:20:43.770Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-16T23:20:43.770Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-16T23:20:43.770Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-16T23:20:43.770Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-16T23:20:43.770Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (47331.467 ms) ====== [2025-05-16T23:20:43.770Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-05-16T23:20:43.770Z] GC before operation: completed in 105.559 ms, heap usage 295.269 MB -> 90.433 MB. [2025-05-16T23:20:52.409Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T23:21:01.048Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T23:21:08.108Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T23:21:15.143Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T23:21:19.763Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T23:21:23.472Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T23:21:28.078Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T23:21:32.673Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T23:21:32.673Z] 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. [2025-05-16T23:21:32.673Z] The best model improves the baseline by 14.52%. [2025-05-16T23:21:32.981Z] Top recommended movies for user id 72: [2025-05-16T23:21:32.981Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-16T23:21:32.981Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-16T23:21:32.981Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-16T23:21:32.981Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-16T23:21:32.981Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-16T23:21:32.981Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (49110.481 ms) ====== [2025-05-16T23:21:32.981Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-05-16T23:21:32.981Z] GC before operation: completed in 116.796 ms, heap usage 618.676 MB -> 93.983 MB. [2025-05-16T23:21:41.639Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T23:21:48.680Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T23:21:57.360Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T23:22:03.055Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T23:22:07.651Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T23:22:11.294Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T23:22:15.863Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T23:22:20.429Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T23:22:20.429Z] 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. [2025-05-16T23:22:20.768Z] The best model improves the baseline by 14.52%. [2025-05-16T23:22:20.768Z] Top recommended movies for user id 72: [2025-05-16T23:22:20.768Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-16T23:22:20.768Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-16T23:22:20.768Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-16T23:22:20.768Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-16T23:22:20.768Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-16T23:22:20.768Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (47725.155 ms) ====== [2025-05-16T23:22:20.768Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-05-16T23:22:21.091Z] GC before operation: completed in 115.523 ms, heap usage 175.326 MB -> 92.627 MB. [2025-05-16T23:22:28.120Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T23:22:35.193Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T23:22:43.861Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T23:22:50.919Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T23:22:54.537Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T23:22:58.162Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T23:23:02.722Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T23:23:07.382Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T23:23:07.382Z] 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. [2025-05-16T23:23:07.382Z] The best model improves the baseline by 14.52%. [2025-05-16T23:23:07.382Z] Top recommended movies for user id 72: [2025-05-16T23:23:07.382Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-16T23:23:07.382Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-16T23:23:07.382Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-16T23:23:07.382Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-16T23:23:07.382Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-16T23:23:07.382Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (46497.561 ms) ====== [2025-05-16T23:23:07.382Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-05-16T23:23:07.712Z] GC before operation: completed in 120.749 ms, heap usage 227.612 MB -> 90.193 MB. [2025-05-16T23:23:16.396Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T23:23:25.005Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T23:23:32.095Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T23:23:39.148Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T23:23:43.690Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T23:23:47.356Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T23:23:53.049Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T23:23:56.665Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T23:23:56.665Z] 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. [2025-05-16T23:23:56.665Z] The best model improves the baseline by 14.52%. [2025-05-16T23:23:56.985Z] Top recommended movies for user id 72: [2025-05-16T23:23:56.985Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-16T23:23:56.985Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-16T23:23:56.985Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-16T23:23:56.985Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-16T23:23:56.985Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-16T23:23:56.985Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (49454.707 ms) ====== [2025-05-16T23:23:56.985Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-05-16T23:23:56.985Z] GC before operation: completed in 106.538 ms, heap usage 279.245 MB -> 90.470 MB. [2025-05-16T23:24:05.680Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T23:24:14.294Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T23:24:21.462Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T23:24:28.509Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T23:24:33.074Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T23:24:36.731Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T23:24:41.343Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T23:24:45.969Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T23:24:45.969Z] 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. [2025-05-16T23:24:45.969Z] The best model improves the baseline by 14.52%. [2025-05-16T23:24:45.969Z] Top recommended movies for user id 72: [2025-05-16T23:24:45.969Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-16T23:24:45.969Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-16T23:24:45.969Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-16T23:24:45.969Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-16T23:24:45.969Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-16T23:24:45.969Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (48912.678 ms) ====== [2025-05-16T23:24:45.969Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-05-16T23:24:46.304Z] GC before operation: completed in 104.438 ms, heap usage 356.461 MB -> 92.640 MB. [2025-05-16T23:24:54.945Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T23:25:00.685Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T23:25:09.352Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T23:25:16.399Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T23:25:20.027Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T23:25:23.647Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T23:25:28.213Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T23:25:31.845Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T23:25:32.627Z] 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. [2025-05-16T23:25:32.627Z] The best model improves the baseline by 14.52%. [2025-05-16T23:25:32.627Z] Top recommended movies for user id 72: [2025-05-16T23:25:32.627Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-16T23:25:32.627Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-16T23:25:32.627Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-16T23:25:32.627Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-16T23:25:32.627Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-16T23:25:32.627Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (46538.481 ms) ====== [2025-05-16T23:25:32.627Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-05-16T23:25:32.943Z] GC before operation: completed in 122.442 ms, heap usage 681.830 MB -> 95.861 MB. [2025-05-16T23:25:40.013Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T23:25:47.060Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T23:25:55.743Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T23:26:02.877Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T23:26:07.512Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T23:26:11.158Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T23:26:15.739Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T23:26:20.355Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T23:26:20.355Z] 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. [2025-05-16T23:26:20.355Z] The best model improves the baseline by 14.52%. [2025-05-16T23:26:20.671Z] Top recommended movies for user id 72: [2025-05-16T23:26:20.671Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-16T23:26:20.671Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-16T23:26:20.671Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-16T23:26:20.671Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-16T23:26:20.671Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-16T23:26:20.671Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (47682.217 ms) ====== [2025-05-16T23:26:20.991Z] ----------------------------------- [2025-05-16T23:26:20.991Z] renaissance-movie-lens_0_PASSED [2025-05-16T23:26:20.991Z] ----------------------------------- [2025-05-16T23:26:21.661Z] [2025-05-16T23:26:21.661Z] TEST TEARDOWN: [2025-05-16T23:26:21.661Z] Nothing to be done for teardown. [2025-05-16T23:26:21.661Z] renaissance-movie-lens_0 Finish Time: Fri May 16 23:26:21 2025 Epoch Time (ms): 1747437981553