[2025-07-31T04:46:35.840Z] Running test renaissance-movie-lens_0 ... [2025-07-31T04:46:35.840Z] =============================================== [2025-07-31T04:46:36.164Z] renaissance-movie-lens_0 Start Time: Thu Jul 31 04:46:35 2025 Epoch Time (ms): 1753937195939 [2025-07-31T04:46:36.164Z] variation: NoOptions [2025-07-31T04:46:36.164Z] JVM_OPTIONS: [2025-07-31T04:46:36.488Z] { \ [2025-07-31T04:46:36.488Z] echo ""; echo "TEST SETUP:"; \ [2025-07-31T04:46:36.488Z] echo "Nothing to be done for setup."; \ [2025-07-31T04:46:36.489Z] mkdir -p "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows_rerun/aqa-tests/\\TKG\\output_17539358784423\\renaissance-movie-lens_0"; \ [2025-07-31T04:46:36.489Z] cd "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows_rerun/aqa-tests/\\TKG\\output_17539358784423\\renaissance-movie-lens_0"; \ [2025-07-31T04:46:36.489Z] echo ""; echo "TESTING:"; \ [2025-07-31T04:46:36.489Z] "c:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows_rerun/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_openjdk21_hs_extended.perf_x86-64_windows_rerun/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows_rerun/aqa-tests/\\TKG\\output_17539358784423\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2025-07-31T04:46:36.489Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows_rerun/aqa-tests/; rm -f -r "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows_rerun/aqa-tests/\\TKG\\output_17539358784423\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-07-31T04:46:36.489Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-07-31T04:46:36.489Z] echo "Nothing to be done for teardown."; \ [2025-07-31T04:46:36.489Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows_rerun/aqa-tests/\\TKG\\output_17539358784423\\TestTargetResult"; [2025-07-31T04:46:36.489Z] [2025-07-31T04:46:36.489Z] TEST SETUP: [2025-07-31T04:46:36.489Z] Nothing to be done for setup. [2025-07-31T04:46:36.489Z] [2025-07-31T04:46:36.489Z] TESTING: [2025-07-31T04:46:55.309Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-07-31T04:47:01.045Z] 04:46:59.940 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. [2025-07-31T04:47:02.837Z] Got 100004 ratings from 671 users on 9066 movies. [2025-07-31T04:47:03.195Z] Training: 60056, validation: 20285, test: 19854 [2025-07-31T04:47:03.195Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-07-31T04:47:03.526Z] GC before operation: completed in 131.217 ms, heap usage 320.559 MB -> 76.337 MB. [2025-07-31T04:47:19.326Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T04:47:30.018Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T04:47:43.133Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T04:47:53.806Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T04:47:59.638Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T04:48:05.414Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T04:48:12.528Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T04:48:18.264Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T04:48:18.615Z] 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. [2025-07-31T04:48:19.068Z] The best model improves the baseline by 14.52%. [2025-07-31T04:48:19.398Z] Top recommended movies for user id 72: [2025-07-31T04:48:19.398Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T04:48:19.398Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T04:48:19.398Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T04:48:19.398Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T04:48:19.398Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T04:48:19.398Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (75757.513 ms) ====== [2025-07-31T04:48:19.398Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-07-31T04:48:19.398Z] GC before operation: completed in 123.887 ms, heap usage 256.741 MB -> 90.468 MB. [2025-07-31T04:48:30.053Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T04:48:40.636Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T04:48:51.223Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T04:48:59.921Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T04:49:05.656Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T04:49:11.391Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T04:49:17.147Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T04:49:22.910Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T04:49:23.340Z] 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. [2025-07-31T04:49:23.340Z] The best model improves the baseline by 14.52%. [2025-07-31T04:49:23.340Z] Top recommended movies for user id 72: [2025-07-31T04:49:23.340Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T04:49:23.340Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T04:49:23.340Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T04:49:23.341Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T04:49:23.341Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T04:49:23.341Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (64149.105 ms) ====== [2025-07-31T04:49:23.341Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-07-31T04:49:23.663Z] GC before operation: completed in 120.618 ms, heap usage 217.398 MB -> 88.985 MB. [2025-07-31T04:49:34.248Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T04:49:44.839Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T04:49:55.467Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T04:50:04.173Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T04:50:08.819Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T04:50:14.594Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T04:50:20.367Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T04:50:26.141Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T04:50:26.141Z] 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. [2025-07-31T04:50:26.141Z] The best model improves the baseline by 14.52%. [2025-07-31T04:50:26.521Z] Top recommended movies for user id 72: [2025-07-31T04:50:26.521Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T04:50:26.521Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T04:50:26.521Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T04:50:26.521Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T04:50:26.521Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T04:50:26.521Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (63050.510 ms) ====== [2025-07-31T04:50:26.521Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-07-31T04:50:26.845Z] GC before operation: completed in 123.154 ms, heap usage 235.051 MB -> 89.638 MB. [2025-07-31T04:50:37.434Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T04:50:46.116Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T04:50:56.713Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T04:51:05.401Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T04:51:11.147Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T04:51:16.889Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T04:51:22.628Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T04:51:27.365Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T04:51:28.054Z] 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. [2025-07-31T04:51:28.054Z] The best model improves the baseline by 14.52%. [2025-07-31T04:51:28.382Z] Top recommended movies for user id 72: [2025-07-31T04:51:28.382Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T04:51:28.382Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T04:51:28.382Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T04:51:28.382Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T04:51:28.382Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T04:51:28.382Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (61694.223 ms) ====== [2025-07-31T04:51:28.382Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-07-31T04:51:28.382Z] GC before operation: completed in 125.879 ms, heap usage 522.216 MB -> 92.522 MB. [2025-07-31T04:51:38.979Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T04:51:47.710Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T04:51:58.315Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T04:52:06.999Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T04:52:12.743Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T04:52:17.343Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T04:52:23.209Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T04:52:29.026Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T04:52:29.026Z] 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. [2025-07-31T04:52:29.026Z] The best model improves the baseline by 14.52%. [2025-07-31T04:52:29.026Z] Top recommended movies for user id 72: [2025-07-31T04:52:29.026Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T04:52:29.026Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T04:52:29.026Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T04:52:29.026Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T04:52:29.026Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T04:52:29.026Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (60558.172 ms) ====== [2025-07-31T04:52:29.026Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-07-31T04:52:29.348Z] GC before operation: completed in 123.715 ms, heap usage 448.774 MB -> 90.215 MB. [2025-07-31T04:52:39.922Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T04:52:48.607Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T04:52:59.211Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T04:53:07.902Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T04:53:12.508Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T04:53:18.236Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T04:53:24.029Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T04:53:29.761Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T04:53:29.761Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-31T04:53:29.761Z] The best model improves the baseline by 14.52%. [2025-07-31T04:53:30.118Z] Top recommended movies for user id 72: [2025-07-31T04:53:30.118Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T04:53:30.118Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T04:53:30.118Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T04:53:30.118Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T04:53:30.118Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T04:53:30.118Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (60960.247 ms) ====== [2025-07-31T04:53:30.118Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-07-31T04:53:30.442Z] GC before operation: completed in 130.185 ms, heap usage 102.413 MB -> 89.974 MB. [2025-07-31T04:53:41.030Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T04:53:49.824Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T04:54:00.455Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T04:54:09.164Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T04:54:13.885Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T04:54:19.604Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T04:54:25.352Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T04:54:31.213Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T04:54:31.213Z] 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. [2025-07-31T04:54:31.213Z] The best model improves the baseline by 14.52%. [2025-07-31T04:54:31.570Z] Top recommended movies for user id 72: [2025-07-31T04:54:31.570Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T04:54:31.570Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T04:54:31.570Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T04:54:31.570Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T04:54:31.570Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T04:54:31.570Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (61183.782 ms) ====== [2025-07-31T04:54:31.570Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-07-31T04:54:31.570Z] GC before operation: completed in 119.780 ms, heap usage 105.593 MB -> 90.008 MB. [2025-07-31T04:54:42.176Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T04:54:50.847Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T04:55:01.410Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T04:55:10.104Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T04:55:15.904Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T04:55:20.501Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T04:55:26.230Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T04:55:31.955Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T04:55:32.281Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-31T04:55:32.589Z] The best model improves the baseline by 14.52%. [2025-07-31T04:55:32.979Z] Top recommended movies for user id 72: [2025-07-31T04:55:32.979Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T04:55:32.979Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T04:55:32.979Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T04:55:32.979Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T04:55:32.979Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T04:55:32.979Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (61168.728 ms) ====== [2025-07-31T04:55:32.979Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-07-31T04:55:32.979Z] GC before operation: completed in 127.170 ms, heap usage 103.420 MB -> 90.126 MB. [2025-07-31T04:55:43.575Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T04:55:52.240Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T04:56:02.809Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T04:56:11.481Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T04:56:16.079Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T04:56:20.711Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T04:56:26.437Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T04:56:32.200Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T04:56:32.200Z] 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. [2025-07-31T04:56:32.200Z] The best model improves the baseline by 14.52%. [2025-07-31T04:56:32.200Z] Top recommended movies for user id 72: [2025-07-31T04:56:32.200Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T04:56:32.200Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T04:56:32.200Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T04:56:32.200Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T04:56:32.200Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T04:56:32.200Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (59349.321 ms) ====== [2025-07-31T04:56:32.200Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-07-31T04:56:32.525Z] GC before operation: completed in 125.502 ms, heap usage 533.227 MB -> 90.702 MB. [2025-07-31T04:56:43.101Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T04:56:51.789Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T04:57:02.351Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T04:57:11.021Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T04:57:15.639Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T04:57:20.301Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T04:57:27.451Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T04:57:32.069Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T04:57:32.754Z] 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. [2025-07-31T04:57:32.754Z] The best model improves the baseline by 14.52%. [2025-07-31T04:57:33.121Z] Top recommended movies for user id 72: [2025-07-31T04:57:33.121Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T04:57:33.121Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T04:57:33.121Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T04:57:33.121Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T04:57:33.121Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T04:57:33.121Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (60541.934 ms) ====== [2025-07-31T04:57:33.121Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-07-31T04:57:33.121Z] GC before operation: completed in 125.427 ms, heap usage 103.229 MB -> 90.275 MB. [2025-07-31T04:57:45.316Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T04:57:52.407Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T04:58:03.114Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T04:58:11.804Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T04:58:16.404Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T04:58:22.137Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T04:58:27.924Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T04:58:33.657Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T04:58:33.657Z] 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. [2025-07-31T04:58:33.657Z] The best model improves the baseline by 14.52%. [2025-07-31T04:58:33.979Z] Top recommended movies for user id 72: [2025-07-31T04:58:33.979Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T04:58:33.979Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T04:58:33.979Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T04:58:33.979Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T04:58:33.979Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T04:58:33.979Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (60838.239 ms) ====== [2025-07-31T04:58:33.979Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-07-31T04:58:33.979Z] GC before operation: completed in 120.842 ms, heap usage 124.626 MB -> 90.081 MB. [2025-07-31T04:58:44.573Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T04:58:53.308Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T04:59:03.890Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T04:59:12.585Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T04:59:17.181Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T04:59:22.911Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T04:59:28.651Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T04:59:34.409Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T04:59:34.409Z] 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. [2025-07-31T04:59:34.409Z] The best model improves the baseline by 14.52%. [2025-07-31T04:59:34.736Z] Top recommended movies for user id 72: [2025-07-31T04:59:34.736Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T04:59:34.736Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T04:59:34.736Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T04:59:34.736Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T04:59:34.736Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T04:59:34.736Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (60757.308 ms) ====== [2025-07-31T04:59:34.736Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-07-31T04:59:35.059Z] GC before operation: completed in 117.889 ms, heap usage 119.389 MB -> 90.274 MB. [2025-07-31T04:59:43.775Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T04:59:54.341Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T05:00:04.956Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T05:00:12.063Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T05:00:17.870Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T05:00:22.668Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T05:00:29.787Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T05:00:34.424Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T05:00:35.255Z] 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. [2025-07-31T05:00:35.255Z] The best model improves the baseline by 14.52%. [2025-07-31T05:00:35.255Z] Top recommended movies for user id 72: [2025-07-31T05:00:35.255Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T05:00:35.255Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T05:00:35.255Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T05:00:35.255Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T05:00:35.255Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T05:00:35.255Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (60421.707 ms) ====== [2025-07-31T05:00:35.255Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-07-31T05:00:35.580Z] GC before operation: completed in 121.844 ms, heap usage 367.279 MB -> 90.752 MB. [2025-07-31T05:00:46.222Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T05:00:54.897Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T05:01:05.481Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T05:01:14.166Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T05:01:19.903Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T05:01:24.517Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T05:01:31.627Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T05:01:36.228Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T05:01:36.553Z] 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. [2025-07-31T05:01:36.553Z] The best model improves the baseline by 14.52%. [2025-07-31T05:01:36.875Z] Top recommended movies for user id 72: [2025-07-31T05:01:36.875Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T05:01:36.875Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T05:01:36.875Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T05:01:36.875Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T05:01:36.875Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T05:01:36.875Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (61381.168 ms) ====== [2025-07-31T05:01:36.875Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-07-31T05:01:36.875Z] GC before operation: completed in 119.758 ms, heap usage 202.554 MB -> 93.614 MB. [2025-07-31T05:01:47.489Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T05:01:56.157Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T05:02:06.757Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T05:02:15.453Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T05:02:20.071Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T05:02:25.813Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T05:02:31.587Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T05:02:37.338Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T05:02:37.338Z] 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. [2025-07-31T05:02:37.338Z] The best model improves the baseline by 14.52%. [2025-07-31T05:02:37.713Z] Top recommended movies for user id 72: [2025-07-31T05:02:37.713Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T05:02:37.713Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T05:02:37.713Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T05:02:37.713Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T05:02:37.713Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T05:02:37.713Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (60575.212 ms) ====== [2025-07-31T05:02:37.713Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-07-31T05:02:37.713Z] GC before operation: completed in 130.333 ms, heap usage 117.425 MB -> 90.497 MB. [2025-07-31T05:02:48.422Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T05:02:57.092Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T05:03:07.864Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T05:03:16.608Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T05:03:21.242Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T05:03:27.040Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T05:03:32.992Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T05:03:37.643Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T05:03:38.412Z] 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. [2025-07-31T05:03:38.412Z] The best model improves the baseline by 14.52%. [2025-07-31T05:03:38.785Z] Top recommended movies for user id 72: [2025-07-31T05:03:38.785Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T05:03:38.785Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T05:03:38.785Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T05:03:38.785Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T05:03:38.785Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T05:03:38.785Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (61194.950 ms) ====== [2025-07-31T05:03:38.785Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-07-31T05:03:39.107Z] GC before operation: completed in 122.496 ms, heap usage 368.475 MB -> 90.599 MB. [2025-07-31T05:03:47.824Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T05:03:58.415Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T05:04:09.020Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T05:04:17.728Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T05:04:23.467Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T05:04:28.072Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T05:04:35.153Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T05:04:39.766Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T05:04:40.539Z] 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. [2025-07-31T05:04:40.539Z] The best model improves the baseline by 14.52%. [2025-07-31T05:04:40.539Z] Top recommended movies for user id 72: [2025-07-31T05:04:40.539Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T05:04:40.539Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T05:04:40.539Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T05:04:40.539Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T05:04:40.539Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T05:04:40.539Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (61635.110 ms) ====== [2025-07-31T05:04:40.539Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-07-31T05:04:40.861Z] GC before operation: completed in 116.412 ms, heap usage 297.393 MB -> 90.603 MB. [2025-07-31T05:04:49.555Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T05:05:00.152Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T05:05:10.748Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T05:05:19.447Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T05:05:24.049Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T05:05:29.770Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T05:05:35.504Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T05:05:41.241Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T05:05:41.241Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-31T05:05:41.241Z] The best model improves the baseline by 14.52%. [2025-07-31T05:05:41.599Z] Top recommended movies for user id 72: [2025-07-31T05:05:41.599Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T05:05:41.599Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T05:05:41.599Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T05:05:41.599Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T05:05:41.599Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T05:05:41.599Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (60732.414 ms) ====== [2025-07-31T05:05:41.599Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-07-31T05:05:41.599Z] GC before operation: completed in 121.527 ms, heap usage 184.583 MB -> 90.283 MB. [2025-07-31T05:05:52.189Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T05:06:00.917Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T05:06:11.476Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T05:06:20.156Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T05:06:24.782Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T05:06:30.518Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T05:06:36.247Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T05:06:41.973Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T05:06:42.293Z] 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. [2025-07-31T05:06:42.293Z] The best model improves the baseline by 14.52%. [2025-07-31T05:06:42.702Z] Top recommended movies for user id 72: [2025-07-31T05:06:42.702Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T05:06:42.702Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T05:06:42.702Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T05:06:42.702Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T05:06:42.702Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T05:06:42.702Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (61017.218 ms) ====== [2025-07-31T05:06:42.702Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-07-31T05:06:42.702Z] GC before operation: completed in 121.875 ms, heap usage 346.298 MB -> 90.561 MB. [2025-07-31T05:06:53.281Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T05:07:01.973Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T05:07:12.553Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T05:07:21.225Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T05:07:26.953Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T05:07:32.715Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T05:07:38.465Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T05:07:44.246Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T05:07:44.246Z] 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. [2025-07-31T05:07:44.246Z] The best model improves the baseline by 14.52%. [2025-07-31T05:07:44.570Z] Top recommended movies for user id 72: [2025-07-31T05:07:44.571Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T05:07:44.571Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T05:07:44.571Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T05:07:44.571Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T05:07:44.571Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T05:07:44.571Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (61747.915 ms) ====== [2025-07-31T05:07:44.900Z] ----------------------------------- [2025-07-31T05:07:44.900Z] renaissance-movie-lens_0_PASSED [2025-07-31T05:07:44.900Z] ----------------------------------- [2025-07-31T05:07:45.566Z] [2025-07-31T05:07:45.566Z] TEST TEARDOWN: [2025-07-31T05:07:45.566Z] Nothing to be done for teardown. [2025-07-31T05:07:45.874Z] renaissance-movie-lens_0 Finish Time: Thu Jul 31 05:07:45 2025 Epoch Time (ms): 1753938465592