[2025-05-07T11:44:33.960Z] Running test renaissance-movie-lens_0 ... [2025-05-07T11:44:33.960Z] =============================================== [2025-05-07T11:44:33.960Z] renaissance-movie-lens_0 Start Time: Wed May 7 11:44:33 2025 Epoch Time (ms): 1746618273211 [2025-05-07T11:44:33.960Z] variation: NoOptions [2025-05-07T11:44:33.960Z] JVM_OPTIONS: [2025-05-07T11:44:33.960Z] { \ [2025-05-07T11:44:33.960Z] echo ""; echo "TEST SETUP:"; \ [2025-05-07T11:44:33.960Z] echo "Nothing to be done for setup."; \ [2025-05-07T11:44:33.960Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17466161283742/renaissance-movie-lens_0"; \ [2025-05-07T11:44:33.960Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17466161283742/renaissance-movie-lens_0"; \ [2025-05-07T11:44:33.960Z] echo ""; echo "TESTING:"; \ [2025-05-07T11:44:33.960Z] "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17466161283742/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-05-07T11:44:33.960Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17466161283742/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-05-07T11:44:33.960Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-05-07T11:44:33.960Z] echo "Nothing to be done for teardown."; \ [2025-05-07T11:44:33.960Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17466161283742/TestTargetResult"; [2025-05-07T11:44:33.960Z] [2025-05-07T11:44:33.960Z] TEST SETUP: [2025-05-07T11:44:33.960Z] Nothing to be done for setup. [2025-05-07T11:44:33.960Z] [2025-05-07T11:44:33.960Z] TESTING: [2025-05-07T11:44:38.820Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-05-07T11:44:45.987Z] 11:44:44.971 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2025-05-07T11:44:48.046Z] Got 100004 ratings from 671 users on 9066 movies. [2025-05-07T11:44:49.474Z] Training: 60056, validation: 20285, test: 19854 [2025-05-07T11:44:49.474Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-05-07T11:44:49.474Z] GC before operation: completed in 203.077 ms, heap usage 103.824 MB -> 74.311 MB. [2025-05-07T11:44:56.653Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T11:45:01.427Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T11:45:06.195Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T11:45:09.994Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T11:45:12.049Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T11:45:14.103Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T11:45:16.159Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T11:45:18.211Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T11:45:18.211Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-07T11:45:18.212Z] The best model improves the baseline by 14.34%. [2025-05-07T11:45:18.212Z] Top recommended movies for user id 72: [2025-05-07T11:45:18.212Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-07T11:45:18.212Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-07T11:45:18.212Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-07T11:45:18.212Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-07T11:45:18.212Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-07T11:45:18.212Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (29287.236 ms) ====== [2025-05-07T11:45:18.212Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-05-07T11:45:18.839Z] GC before operation: completed in 157.515 ms, heap usage 284.527 MB -> 84.968 MB. [2025-05-07T11:45:21.743Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T11:45:24.606Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T11:45:27.843Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T11:45:29.898Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T11:45:31.210Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T11:45:33.259Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T11:45:35.330Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T11:45:36.642Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T11:45:36.642Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-07T11:45:36.642Z] The best model improves the baseline by 14.34%. [2025-05-07T11:45:37.271Z] Top recommended movies for user id 72: [2025-05-07T11:45:37.272Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-07T11:45:37.272Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-07T11:45:37.272Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-07T11:45:37.272Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-07T11:45:37.272Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-07T11:45:37.272Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18485.452 ms) ====== [2025-05-07T11:45:37.272Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-05-07T11:45:37.272Z] GC before operation: completed in 167.060 ms, heap usage 147.335 MB -> 86.567 MB. [2025-05-07T11:45:40.134Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T11:45:42.996Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T11:45:45.862Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T11:45:48.725Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T11:45:50.035Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T11:45:52.088Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T11:45:54.141Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T11:45:55.453Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T11:45:56.084Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-07T11:45:56.084Z] The best model improves the baseline by 14.34%. [2025-05-07T11:45:56.084Z] Top recommended movies for user id 72: [2025-05-07T11:45:56.084Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-07T11:45:56.084Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-07T11:45:56.084Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-07T11:45:56.084Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-07T11:45:56.084Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-07T11:45:56.084Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (18873.282 ms) ====== [2025-05-07T11:45:56.084Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-05-07T11:45:56.084Z] GC before operation: completed in 162.980 ms, heap usage 329.145 MB -> 87.445 MB. [2025-05-07T11:45:58.956Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T11:46:01.813Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T11:46:04.766Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T11:46:07.105Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T11:46:08.415Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T11:46:09.725Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T11:46:11.779Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T11:46:13.091Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T11:46:13.720Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-07T11:46:13.720Z] The best model improves the baseline by 14.34%. [2025-05-07T11:46:13.720Z] Top recommended movies for user id 72: [2025-05-07T11:46:13.720Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-07T11:46:13.720Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-07T11:46:13.720Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-07T11:46:13.720Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-07T11:46:13.720Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-07T11:46:13.720Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (17394.046 ms) ====== [2025-05-07T11:46:13.720Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-05-07T11:46:13.720Z] GC before operation: completed in 146.698 ms, heap usage 324.452 MB -> 87.743 MB. [2025-05-07T11:46:16.575Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T11:46:19.439Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T11:46:22.293Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T11:46:24.338Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T11:46:25.645Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T11:46:26.976Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T11:46:29.030Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T11:46:30.337Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T11:46:30.337Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-07T11:46:30.337Z] The best model improves the baseline by 14.34%. [2025-05-07T11:46:30.965Z] Top recommended movies for user id 72: [2025-05-07T11:46:30.965Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-07T11:46:30.965Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-07T11:46:30.965Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-07T11:46:30.965Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-07T11:46:30.965Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-07T11:46:30.965Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16784.883 ms) ====== [2025-05-07T11:46:30.965Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-05-07T11:46:30.965Z] GC before operation: completed in 156.489 ms, heap usage 189.367 MB -> 87.408 MB. [2025-05-07T11:46:33.824Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T11:46:36.687Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T11:46:39.115Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T11:46:41.983Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T11:46:43.306Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T11:46:44.618Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T11:46:46.697Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T11:46:48.012Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T11:46:48.012Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-07T11:46:48.012Z] The best model improves the baseline by 14.34%. [2025-05-07T11:46:48.012Z] Top recommended movies for user id 72: [2025-05-07T11:46:48.012Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-07T11:46:48.012Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-07T11:46:48.012Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-07T11:46:48.012Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-07T11:46:48.012Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-07T11:46:48.012Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (17354.665 ms) ====== [2025-05-07T11:46:48.012Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-05-07T11:46:48.644Z] GC before operation: completed in 140.873 ms, heap usage 296.735 MB -> 87.870 MB. [2025-05-07T11:46:51.579Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T11:46:53.630Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T11:46:56.520Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T11:46:58.569Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T11:46:59.878Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T11:47:01.928Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T11:47:03.235Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T11:47:04.546Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T11:47:05.178Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-07T11:47:05.178Z] The best model improves the baseline by 14.34%. [2025-05-07T11:47:05.178Z] Top recommended movies for user id 72: [2025-05-07T11:47:05.178Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-07T11:47:05.178Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-07T11:47:05.178Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-07T11:47:05.178Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-07T11:47:05.178Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-07T11:47:05.178Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (16776.816 ms) ====== [2025-05-07T11:47:05.178Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-05-07T11:47:05.178Z] GC before operation: completed in 156.255 ms, heap usage 328.666 MB -> 88.026 MB. [2025-05-07T11:47:08.037Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T11:47:10.081Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T11:47:12.132Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T11:47:14.994Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T11:47:16.304Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T11:47:18.741Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T11:47:20.049Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T11:47:21.357Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T11:47:21.986Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-07T11:47:21.986Z] The best model improves the baseline by 14.34%. [2025-05-07T11:47:21.986Z] Top recommended movies for user id 72: [2025-05-07T11:47:21.986Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-07T11:47:21.986Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-07T11:47:21.986Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-07T11:47:21.986Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-07T11:47:21.986Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-07T11:47:21.986Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (16638.234 ms) ====== [2025-05-07T11:47:21.986Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-05-07T11:47:21.986Z] GC before operation: completed in 162.389 ms, heap usage 372.011 MB -> 88.232 MB. [2025-05-07T11:47:24.864Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T11:47:27.728Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T11:47:30.603Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T11:47:32.656Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T11:47:34.777Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T11:47:36.084Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T11:47:37.398Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T11:47:39.448Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T11:47:39.448Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-07T11:47:39.448Z] The best model improves the baseline by 14.34%. [2025-05-07T11:47:39.448Z] Top recommended movies for user id 72: [2025-05-07T11:47:39.448Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-07T11:47:39.448Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-07T11:47:39.448Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-07T11:47:39.448Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-07T11:47:39.448Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-07T11:47:39.448Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (17501.160 ms) ====== [2025-05-07T11:47:39.448Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-05-07T11:47:39.448Z] GC before operation: completed in 147.708 ms, heap usage 326.546 MB -> 88.143 MB. [2025-05-07T11:47:42.309Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T11:47:45.171Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T11:47:47.219Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T11:47:49.269Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T11:47:51.323Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T11:47:52.630Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T11:47:54.314Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T11:47:55.628Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T11:47:56.254Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-07T11:47:56.254Z] The best model improves the baseline by 14.34%. [2025-05-07T11:47:56.254Z] Top recommended movies for user id 72: [2025-05-07T11:47:56.254Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-07T11:47:56.254Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-07T11:47:56.254Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-07T11:47:56.254Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-07T11:47:56.254Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-07T11:47:56.254Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (16374.732 ms) ====== [2025-05-07T11:47:56.254Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-05-07T11:47:56.254Z] GC before operation: completed in 154.947 ms, heap usage 191.900 MB -> 87.981 MB. [2025-05-07T11:47:59.115Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T11:48:01.163Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T11:48:04.024Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T11:48:06.098Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T11:48:08.147Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T11:48:09.454Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T11:48:10.845Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T11:48:12.157Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T11:48:12.787Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-07T11:48:12.787Z] The best model improves the baseline by 14.34%. [2025-05-07T11:48:12.787Z] Top recommended movies for user id 72: [2025-05-07T11:48:12.787Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-07T11:48:12.787Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-07T11:48:12.787Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-07T11:48:12.787Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-07T11:48:12.787Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-07T11:48:12.787Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (16571.586 ms) ====== [2025-05-07T11:48:12.787Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-05-07T11:48:12.787Z] GC before operation: completed in 188.101 ms, heap usage 308.600 MB -> 87.934 MB. [2025-05-07T11:48:15.648Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T11:48:17.696Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T11:48:20.555Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T11:48:22.607Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T11:48:24.654Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T11:48:25.971Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T11:48:27.285Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T11:48:28.596Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T11:48:28.597Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-07T11:48:28.597Z] The best model improves the baseline by 14.34%. [2025-05-07T11:48:29.416Z] Top recommended movies for user id 72: [2025-05-07T11:48:29.416Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-07T11:48:29.416Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-07T11:48:29.416Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-07T11:48:29.416Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-07T11:48:29.416Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-07T11:48:29.416Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15922.165 ms) ====== [2025-05-07T11:48:29.417Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-05-07T11:48:29.417Z] GC before operation: completed in 141.959 ms, heap usage 328.289 MB -> 88.152 MB. [2025-05-07T11:48:31.658Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T11:48:34.518Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T11:48:36.639Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T11:48:39.500Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T11:48:40.807Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T11:48:42.859Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T11:48:44.167Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T11:48:46.219Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T11:48:46.219Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-07T11:48:46.219Z] The best model improves the baseline by 14.34%. [2025-05-07T11:48:46.219Z] Top recommended movies for user id 72: [2025-05-07T11:48:46.219Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-07T11:48:46.219Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-07T11:48:46.219Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-07T11:48:46.219Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-07T11:48:46.219Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-07T11:48:46.219Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (17203.453 ms) ====== [2025-05-07T11:48:46.219Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-05-07T11:48:46.219Z] GC before operation: completed in 146.591 ms, heap usage 168.778 MB -> 88.056 MB. [2025-05-07T11:48:49.081Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T11:48:51.133Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T11:48:54.095Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T11:48:56.145Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T11:48:58.194Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T11:48:59.506Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T11:49:00.819Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T11:49:02.126Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T11:49:02.762Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-07T11:49:02.762Z] The best model improves the baseline by 14.34%. [2025-05-07T11:49:02.762Z] Top recommended movies for user id 72: [2025-05-07T11:49:02.762Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-07T11:49:02.762Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-07T11:49:02.762Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-07T11:49:02.762Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-07T11:49:02.762Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-07T11:49:02.762Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (16164.397 ms) ====== [2025-05-07T11:49:02.762Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-05-07T11:49:02.762Z] GC before operation: completed in 137.171 ms, heap usage 99.755 MB -> 87.651 MB. [2025-05-07T11:49:05.622Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T11:49:07.315Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T11:49:10.188Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T11:49:12.238Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T11:49:13.549Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T11:49:14.868Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T11:49:16.916Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T11:49:18.230Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T11:49:18.230Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-07T11:49:18.230Z] The best model improves the baseline by 14.34%. [2025-05-07T11:49:18.230Z] Top recommended movies for user id 72: [2025-05-07T11:49:18.230Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-07T11:49:18.230Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-07T11:49:18.230Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-07T11:49:18.230Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-07T11:49:18.230Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-07T11:49:18.230Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15664.899 ms) ====== [2025-05-07T11:49:18.230Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-05-07T11:49:18.861Z] GC before operation: completed in 159.359 ms, heap usage 371.422 MB -> 88.394 MB. [2025-05-07T11:49:20.922Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T11:49:23.783Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T11:49:26.652Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T11:49:28.701Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T11:49:30.752Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T11:49:32.061Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T11:49:33.374Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T11:49:34.782Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T11:49:35.413Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-07T11:49:35.413Z] The best model improves the baseline by 14.34%. [2025-05-07T11:49:35.413Z] Top recommended movies for user id 72: [2025-05-07T11:49:35.413Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-07T11:49:35.413Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-07T11:49:35.413Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-07T11:49:35.413Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-07T11:49:35.413Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-07T11:49:35.413Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (16802.926 ms) ====== [2025-05-07T11:49:35.413Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-05-07T11:49:35.413Z] GC before operation: completed in 140.686 ms, heap usage 331.769 MB -> 88.194 MB. [2025-05-07T11:49:38.280Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T11:49:40.332Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T11:49:42.385Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T11:49:44.818Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T11:49:46.131Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T11:49:48.183Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T11:49:49.492Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T11:49:50.803Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T11:49:51.434Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-07T11:49:51.434Z] The best model improves the baseline by 14.34%. [2025-05-07T11:49:51.434Z] Top recommended movies for user id 72: [2025-05-07T11:49:51.434Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-07T11:49:51.434Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-07T11:49:51.434Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-07T11:49:51.434Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-07T11:49:51.434Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-07T11:49:51.434Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15877.138 ms) ====== [2025-05-07T11:49:51.434Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-05-07T11:49:51.434Z] GC before operation: completed in 154.148 ms, heap usage 408.538 MB -> 88.393 MB. [2025-05-07T11:49:54.300Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T11:49:56.352Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T11:49:59.211Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T11:50:01.267Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T11:50:02.582Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T11:50:03.891Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T11:50:05.199Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T11:50:06.510Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T11:50:07.140Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-07T11:50:07.140Z] The best model improves the baseline by 14.34%. [2025-05-07T11:50:07.140Z] Top recommended movies for user id 72: [2025-05-07T11:50:07.140Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-07T11:50:07.140Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-07T11:50:07.140Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-07T11:50:07.140Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-07T11:50:07.140Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-07T11:50:07.140Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15635.728 ms) ====== [2025-05-07T11:50:07.140Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-05-07T11:50:07.140Z] GC before operation: completed in 139.644 ms, heap usage 169.296 MB -> 87.815 MB. [2025-05-07T11:50:10.000Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T11:50:12.049Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T11:50:14.998Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T11:50:17.045Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T11:50:18.355Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T11:50:20.032Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T11:50:21.342Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T11:50:22.650Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T11:50:23.279Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-07T11:50:23.279Z] The best model improves the baseline by 14.34%. [2025-05-07T11:50:23.279Z] Top recommended movies for user id 72: [2025-05-07T11:50:23.279Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-07T11:50:23.279Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-07T11:50:23.279Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-07T11:50:23.279Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-07T11:50:23.279Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-07T11:50:23.279Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15849.828 ms) ====== [2025-05-07T11:50:23.279Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-05-07T11:50:23.279Z] GC before operation: completed in 138.171 ms, heap usage 294.587 MB -> 88.125 MB. [2025-05-07T11:50:26.138Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T11:50:28.179Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T11:50:31.037Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T11:50:33.092Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T11:50:34.402Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T11:50:35.712Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T11:50:37.022Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T11:50:39.078Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T11:50:39.078Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-07T11:50:39.078Z] The best model improves the baseline by 14.34%. [2025-05-07T11:50:39.078Z] Top recommended movies for user id 72: [2025-05-07T11:50:39.078Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-07T11:50:39.078Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-07T11:50:39.078Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-07T11:50:39.078Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-07T11:50:39.078Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-07T11:50:39.078Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (16090.034 ms) ====== [2025-05-07T11:50:39.705Z] ----------------------------------- [2025-05-07T11:50:39.705Z] renaissance-movie-lens_0_PASSED [2025-05-07T11:50:39.705Z] ----------------------------------- [2025-05-07T11:50:39.705Z] [2025-05-07T11:50:39.705Z] TEST TEARDOWN: [2025-05-07T11:50:39.705Z] Nothing to be done for teardown. [2025-05-07T11:50:39.705Z] renaissance-movie-lens_0 Finish Time: Wed May 7 11:50:39 2025 Epoch Time (ms): 1746618639497