[2025-03-31T01:51:52.258Z] Running test renaissance-movie-lens_0 ... [2025-03-31T01:51:52.258Z] =============================================== [2025-03-31T01:51:52.579Z] renaissance-movie-lens_0 Start Time: Mon Mar 31 01:51:52 2025 Epoch Time (ms): 1743385912373 [2025-03-31T01:51:52.579Z] variation: NoOptions [2025-03-31T01:51:52.579Z] JVM_OPTIONS: [2025-03-31T01:51:52.579Z] { \ [2025-03-31T01:51:52.579Z] echo ""; echo "TEST SETUP:"; \ [2025-03-31T01:51:52.579Z] echo "Nothing to be done for setup."; \ [2025-03-31T01:51:52.579Z] mkdir -p "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17433840294711\\renaissance-movie-lens_0"; \ [2025-03-31T01:51:52.579Z] cd "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17433840294711\\renaissance-movie-lens_0"; \ [2025-03-31T01:51:52.579Z] echo ""; echo "TESTING:"; \ [2025-03-31T01:51:52.579Z] "c:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/jdkbinary/j2sdk-image\\bin\\java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17433840294711\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2025-03-31T01:51:52.579Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17433840294711\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-03-31T01:51:52.579Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-03-31T01:51:52.579Z] echo "Nothing to be done for teardown."; \ [2025-03-31T01:51:52.579Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17433840294711\\TestTargetResult"; [2025-03-31T01:51:52.909Z] [2025-03-31T01:51:52.909Z] TEST SETUP: [2025-03-31T01:51:52.909Z] Nothing to be done for setup. [2025-03-31T01:51:52.910Z] [2025-03-31T01:51:52.910Z] TESTING: [2025-03-31T01:52:05.829Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-03-31T01:52:14.632Z] 01:52:13.643 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-03-31T01:52:17.085Z] Got 100004 ratings from 671 users on 9066 movies. [2025-03-31T01:52:17.819Z] Training: 60056, validation: 20285, test: 19854 [2025-03-31T01:52:17.819Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-03-31T01:52:17.819Z] GC before operation: completed in 168.883 ms, heap usage 195.233 MB -> 74.885 MB. [2025-03-31T01:52:33.844Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-31T01:52:42.652Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-31T01:52:53.359Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-31T01:53:00.496Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-31T01:53:06.299Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-31T01:53:10.950Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-31T01:53:15.594Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-31T01:53:20.234Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-31T01:53:20.581Z] 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. [2025-03-31T01:53:20.893Z] The best model improves the baseline by 14.52%. [2025-03-31T01:53:21.251Z] Top recommended movies for user id 72: [2025-03-31T01:53:21.251Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-31T01:53:21.251Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-31T01:53:21.251Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-31T01:53:21.251Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-31T01:53:21.251Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-31T01:53:21.251Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (63321.625 ms) ====== [2025-03-31T01:53:21.251Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-03-31T01:53:21.251Z] GC before operation: completed in 199.244 ms, heap usage 222.375 MB -> 85.885 MB. [2025-03-31T01:53:30.004Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-31T01:53:38.789Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-31T01:53:45.955Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-31T01:53:54.684Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-31T01:53:58.355Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-31T01:54:03.038Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-31T01:54:07.667Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-31T01:54:12.338Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-31T01:54:12.338Z] 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. [2025-03-31T01:54:12.338Z] The best model improves the baseline by 14.52%. [2025-03-31T01:54:12.661Z] Top recommended movies for user id 72: [2025-03-31T01:54:12.661Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-31T01:54:12.661Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-31T01:54:12.661Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-31T01:54:12.661Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-31T01:54:12.661Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-31T01:54:12.661Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (51162.654 ms) ====== [2025-03-31T01:54:12.661Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-03-31T01:54:12.661Z] GC before operation: completed in 164.929 ms, heap usage 199.357 MB -> 87.951 MB. [2025-03-31T01:54:21.469Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-31T01:54:28.623Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-31T01:54:37.401Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-31T01:54:44.558Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-31T01:54:49.209Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-31T01:54:53.857Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-31T01:54:59.661Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-31T01:55:03.352Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-31T01:55:04.094Z] 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. [2025-03-31T01:55:04.094Z] The best model improves the baseline by 14.52%. [2025-03-31T01:55:04.438Z] Top recommended movies for user id 72: [2025-03-31T01:55:04.439Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-31T01:55:04.439Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-31T01:55:04.439Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-31T01:55:04.439Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-31T01:55:04.439Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-31T01:55:04.439Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (51540.519 ms) ====== [2025-03-31T01:55:04.439Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-03-31T01:55:04.439Z] GC before operation: completed in 169.740 ms, heap usage 115.295 MB -> 88.479 MB. [2025-03-31T01:55:13.190Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-31T01:55:20.308Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-31T01:55:30.932Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-31T01:55:38.121Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-31T01:55:43.974Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-31T01:55:48.635Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-31T01:55:54.398Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-31T01:55:59.044Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-31T01:55:59.371Z] 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. [2025-03-31T01:55:59.371Z] The best model improves the baseline by 14.52%. [2025-03-31T01:55:59.724Z] Top recommended movies for user id 72: [2025-03-31T01:55:59.724Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-31T01:55:59.724Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-31T01:55:59.724Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-31T01:55:59.724Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-31T01:55:59.724Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-31T01:55:59.724Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (55206.368 ms) ====== [2025-03-31T01:55:59.724Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-03-31T01:55:59.724Z] GC before operation: completed in 159.716 ms, heap usage 169.251 MB -> 88.831 MB. [2025-03-31T01:56:08.491Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-31T01:56:17.207Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-31T01:56:25.926Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-31T01:56:33.081Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-31T01:56:36.807Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-31T01:56:41.463Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-31T01:56:46.114Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-31T01:56:50.780Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-31T01:56:51.122Z] 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. [2025-03-31T01:56:51.122Z] The best model improves the baseline by 14.52%. [2025-03-31T01:56:51.523Z] Top recommended movies for user id 72: [2025-03-31T01:56:51.523Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-31T01:56:51.523Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-31T01:56:51.523Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-31T01:56:51.523Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-31T01:56:51.523Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-31T01:56:51.523Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (51740.264 ms) ====== [2025-03-31T01:56:51.523Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-03-31T01:56:51.849Z] GC before operation: completed in 171.985 ms, heap usage 171.241 MB -> 88.767 MB. [2025-03-31T01:57:00.565Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-31T01:57:07.704Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-31T01:57:16.442Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-31T01:57:23.553Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-31T01:57:27.265Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-31T01:57:30.967Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-31T01:57:36.763Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-31T01:57:40.470Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-31T01:57:40.818Z] 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. [2025-03-31T01:57:40.818Z] The best model improves the baseline by 14.52%. [2025-03-31T01:57:41.180Z] Top recommended movies for user id 72: [2025-03-31T01:57:41.180Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-31T01:57:41.180Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-31T01:57:41.180Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-31T01:57:41.180Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-31T01:57:41.180Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-31T01:57:41.180Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (49474.727 ms) ====== [2025-03-31T01:57:41.180Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-03-31T01:57:41.566Z] GC before operation: completed in 159.702 ms, heap usage 243.315 MB -> 89.115 MB. [2025-03-31T01:57:50.303Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-31T01:57:57.444Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-31T01:58:06.194Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-31T01:58:11.977Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-31T01:58:16.689Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-31T01:58:21.352Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-31T01:58:26.053Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-31T01:58:29.732Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-31T01:58:30.072Z] 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. [2025-03-31T01:58:30.072Z] The best model improves the baseline by 14.52%. [2025-03-31T01:58:30.473Z] Top recommended movies for user id 72: [2025-03-31T01:58:30.473Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-31T01:58:30.473Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-31T01:58:30.473Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-31T01:58:30.473Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-31T01:58:30.474Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-31T01:58:30.474Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (49149.743 ms) ====== [2025-03-31T01:58:30.474Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-03-31T01:58:30.802Z] GC before operation: completed in 150.214 ms, heap usage 168.374 MB -> 89.038 MB. [2025-03-31T01:58:39.526Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-31T01:58:46.642Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-31T01:58:55.380Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-31T01:59:02.499Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-31T01:59:06.227Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-31T01:59:10.857Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-31T01:59:15.524Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-31T01:59:19.200Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-31T01:59:19.887Z] 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. [2025-03-31T01:59:19.887Z] The best model improves the baseline by 14.52%. [2025-03-31T01:59:20.243Z] Top recommended movies for user id 72: [2025-03-31T01:59:20.243Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-31T01:59:20.243Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-31T01:59:20.243Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-31T01:59:20.243Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-31T01:59:20.244Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-31T01:59:20.244Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (49495.314 ms) ====== [2025-03-31T01:59:20.244Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-03-31T01:59:20.244Z] GC before operation: completed in 163.665 ms, heap usage 179.304 MB -> 89.232 MB. [2025-03-31T01:59:28.990Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-31T01:59:36.111Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-31T01:59:44.830Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-31T01:59:52.019Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-31T01:59:56.647Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-31T02:00:00.340Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-31T02:00:04.985Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-31T02:00:09.610Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-31T02:00:09.961Z] 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. [2025-03-31T02:00:09.961Z] The best model improves the baseline by 14.52%. [2025-03-31T02:00:10.287Z] Top recommended movies for user id 72: [2025-03-31T02:00:10.287Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-31T02:00:10.287Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-31T02:00:10.287Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-31T02:00:10.287Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-31T02:00:10.287Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-31T02:00:10.287Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (49831.604 ms) ====== [2025-03-31T02:00:10.287Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-03-31T02:00:10.287Z] GC before operation: completed in 152.015 ms, heap usage 200.534 MB -> 89.096 MB. [2025-03-31T02:00:19.033Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-31T02:00:26.182Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-31T02:00:34.952Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-31T02:00:42.088Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-31T02:00:46.717Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-31T02:00:51.350Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-31T02:00:55.984Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-31T02:01:00.669Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-31T02:01:00.669Z] 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. [2025-03-31T02:01:00.669Z] The best model improves the baseline by 14.52%. [2025-03-31T02:01:00.669Z] Top recommended movies for user id 72: [2025-03-31T02:01:00.669Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-31T02:01:00.669Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-31T02:01:00.669Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-31T02:01:00.669Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-31T02:01:00.669Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-31T02:01:00.669Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (50388.856 ms) ====== [2025-03-31T02:01:00.669Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-03-31T02:01:00.993Z] GC before operation: completed in 148.483 ms, heap usage 206.285 MB -> 89.300 MB. [2025-03-31T02:01:08.113Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-31T02:01:16.931Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-31T02:01:24.069Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-31T02:01:32.813Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-31T02:01:36.519Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-31T02:01:40.187Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-31T02:01:45.988Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-31T02:01:49.683Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-31T02:01:50.003Z] 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. [2025-03-31T02:01:50.003Z] The best model improves the baseline by 14.52%. [2025-03-31T02:01:50.335Z] Top recommended movies for user id 72: [2025-03-31T02:01:50.335Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-31T02:01:50.335Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-31T02:01:50.335Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-31T02:01:50.335Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-31T02:01:50.335Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-31T02:01:50.335Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (49426.249 ms) ====== [2025-03-31T02:01:50.335Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-03-31T02:01:50.335Z] GC before operation: completed in 147.488 ms, heap usage 206.797 MB -> 89.027 MB. [2025-03-31T02:01:59.064Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-31T02:02:06.190Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-31T02:02:13.315Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-31T02:02:20.473Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-31T02:02:25.144Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-31T02:02:29.796Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-31T02:02:34.471Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-31T02:02:39.105Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-31T02:02:39.105Z] 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. [2025-03-31T02:02:39.105Z] The best model improves the baseline by 14.52%. [2025-03-31T02:02:39.433Z] Top recommended movies for user id 72: [2025-03-31T02:02:39.433Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-31T02:02:39.433Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-31T02:02:39.433Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-31T02:02:39.433Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-31T02:02:39.433Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-31T02:02:39.433Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (48999.199 ms) ====== [2025-03-31T02:02:39.433Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-03-31T02:02:39.433Z] GC before operation: completed in 149.035 ms, heap usage 233.377 MB -> 89.257 MB. [2025-03-31T02:02:48.143Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-31T02:02:55.262Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-31T02:03:02.455Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-31T02:03:09.588Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-31T02:03:14.230Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-31T02:03:18.864Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-31T02:03:23.500Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-31T02:03:27.176Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-31T02:03:27.505Z] 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. [2025-03-31T02:03:27.505Z] The best model improves the baseline by 14.52%. [2025-03-31T02:03:27.836Z] Top recommended movies for user id 72: [2025-03-31T02:03:27.836Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-31T02:03:27.836Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-31T02:03:27.836Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-31T02:03:27.836Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-31T02:03:27.836Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-31T02:03:27.836Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (48262.077 ms) ====== [2025-03-31T02:03:27.836Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-03-31T02:03:28.163Z] GC before operation: completed in 146.607 ms, heap usage 183.457 MB -> 89.340 MB. [2025-03-31T02:03:35.280Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-31T02:03:42.409Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-31T02:03:51.156Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-31T02:03:58.290Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-31T02:04:02.000Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-31T02:04:06.658Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-31T02:04:11.312Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-31T02:04:16.098Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-31T02:04:16.098Z] 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. [2025-03-31T02:04:16.098Z] The best model improves the baseline by 14.52%. [2025-03-31T02:04:16.436Z] Top recommended movies for user id 72: [2025-03-31T02:04:16.436Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-31T02:04:16.436Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-31T02:04:16.436Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-31T02:04:16.436Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-31T02:04:16.436Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-31T02:04:16.436Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (48136.779 ms) ====== [2025-03-31T02:04:16.436Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-03-31T02:04:16.436Z] GC before operation: completed in 154.771 ms, heap usage 216.081 MB -> 89.196 MB. [2025-03-31T02:04:25.144Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-31T02:04:32.298Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-31T02:04:41.067Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-31T02:04:48.198Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-31T02:04:51.877Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-31T02:04:55.557Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-31T02:05:00.204Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-31T02:05:04.890Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-31T02:05:05.340Z] 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. [2025-03-31T02:05:05.340Z] The best model improves the baseline by 14.52%. [2025-03-31T02:05:05.340Z] Top recommended movies for user id 72: [2025-03-31T02:05:05.340Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-31T02:05:05.340Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-31T02:05:05.340Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-31T02:05:05.340Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-31T02:05:05.340Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-31T02:05:05.340Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (49078.956 ms) ====== [2025-03-31T02:05:05.340Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-03-31T02:05:05.673Z] GC before operation: completed in 149.221 ms, heap usage 210.510 MB -> 89.418 MB. [2025-03-31T02:05:12.811Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-31T02:05:21.546Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-31T02:05:28.707Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-31T02:05:35.840Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-31T02:05:39.518Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-31T02:05:44.140Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-31T02:05:48.780Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-31T02:05:52.466Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-31T02:05:53.230Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-03-31T02:05:53.230Z] The best model improves the baseline by 14.52%. [2025-03-31T02:05:53.230Z] Top recommended movies for user id 72: [2025-03-31T02:05:53.230Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-31T02:05:53.230Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-31T02:05:53.230Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-31T02:05:53.230Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-31T02:05:53.230Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-31T02:05:53.230Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (47722.595 ms) ====== [2025-03-31T02:05:53.230Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-03-31T02:05:53.582Z] GC before operation: completed in 160.389 ms, heap usage 236.928 MB -> 89.271 MB. [2025-03-31T02:06:00.751Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-31T02:06:07.869Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-31T02:06:16.633Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-31T02:06:23.768Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-31T02:06:27.488Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-31T02:06:32.146Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-31T02:06:36.800Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-31T02:06:40.482Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-31T02:06:40.806Z] 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. [2025-03-31T02:06:40.806Z] The best model improves the baseline by 14.52%. [2025-03-31T02:06:41.164Z] Top recommended movies for user id 72: [2025-03-31T02:06:41.164Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-31T02:06:41.165Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-31T02:06:41.165Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-31T02:06:41.165Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-31T02:06:41.165Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-31T02:06:41.165Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (47747.371 ms) ====== [2025-03-31T02:06:41.165Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-03-31T02:06:41.496Z] GC before operation: completed in 161.311 ms, heap usage 166.661 MB -> 89.336 MB. [2025-03-31T02:06:48.626Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-31T02:06:55.741Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-31T02:07:04.473Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-31T02:07:11.625Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-31T02:07:15.296Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-31T02:07:19.965Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-31T02:07:24.622Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-31T02:07:28.317Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-31T02:07:28.643Z] 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. [2025-03-31T02:07:28.643Z] The best model improves the baseline by 14.52%. [2025-03-31T02:07:29.009Z] Top recommended movies for user id 72: [2025-03-31T02:07:29.009Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-31T02:07:29.009Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-31T02:07:29.009Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-31T02:07:29.009Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-31T02:07:29.009Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-31T02:07:29.009Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (47690.980 ms) ====== [2025-03-31T02:07:29.009Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-03-31T02:07:29.346Z] GC before operation: completed in 148.020 ms, heap usage 181.907 MB -> 89.162 MB. [2025-03-31T02:07:38.084Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-31T02:07:45.242Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-31T02:07:53.949Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-31T02:07:59.720Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-31T02:08:04.387Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-31T02:08:09.006Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-31T02:08:13.674Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-31T02:08:17.376Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-31T02:08:17.710Z] 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. [2025-03-31T02:08:18.128Z] The best model improves the baseline by 14.52%. [2025-03-31T02:08:18.128Z] Top recommended movies for user id 72: [2025-03-31T02:08:18.128Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-31T02:08:18.128Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-31T02:08:18.128Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-31T02:08:18.128Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-31T02:08:18.128Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-31T02:08:18.128Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (48981.615 ms) ====== [2025-03-31T02:08:18.128Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-03-31T02:08:18.481Z] GC before operation: completed in 156.048 ms, heap usage 171.712 MB -> 89.271 MB. [2025-03-31T02:08:25.650Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-31T02:08:34.374Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-31T02:08:41.507Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-31T02:08:48.659Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-31T02:08:53.311Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-31T02:08:57.040Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-31T02:09:01.674Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-31T02:09:05.380Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-31T02:09:06.065Z] 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. [2025-03-31T02:09:06.065Z] The best model improves the baseline by 14.52%. [2025-03-31T02:09:06.389Z] Top recommended movies for user id 72: [2025-03-31T02:09:06.389Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-31T02:09:06.389Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-31T02:09:06.389Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-31T02:09:06.389Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-31T02:09:06.389Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-31T02:09:06.389Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (48043.814 ms) ====== [2025-03-31T02:09:07.079Z] ----------------------------------- [2025-03-31T02:09:07.079Z] renaissance-movie-lens_0_PASSED [2025-03-31T02:09:07.079Z] ----------------------------------- [2025-03-31T02:09:07.401Z] [2025-03-31T02:09:07.401Z] TEST TEARDOWN: [2025-03-31T02:09:07.401Z] Nothing to be done for teardown. [2025-03-31T02:09:07.722Z] renaissance-movie-lens_0 Finish Time: Mon Mar 31 02:09:07 2025 Epoch Time (ms): 1743386947678