[2025-06-12T22:21:12.266Z] Running test renaissance-movie-lens_0 ... [2025-06-12T22:21:12.266Z] =============================================== [2025-06-12T22:21:12.266Z] renaissance-movie-lens_0 Start Time: Thu Jun 12 22:21:12 2025 Epoch Time (ms): 1749766872212 [2025-06-12T22:21:12.594Z] variation: NoOptions [2025-06-12T22:21:12.594Z] JVM_OPTIONS: [2025-06-12T22:21:12.594Z] { \ [2025-06-12T22:21:12.594Z] echo ""; echo "TEST SETUP:"; \ [2025-06-12T22:21:12.594Z] echo "Nothing to be done for setup."; \ [2025-06-12T22:21:12.594Z] mkdir -p "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17497652166408\\renaissance-movie-lens_0"; \ [2025-06-12T22:21:12.594Z] cd "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17497652166408\\renaissance-movie-lens_0"; \ [2025-06-12T22:21:12.594Z] echo ""; echo "TESTING:"; \ [2025-06-12T22:21:12.594Z] "c:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/jdkbinary/j2sdk-image\\bin\\java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17497652166408\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2025-06-12T22:21:12.594Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17497652166408\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-06-12T22:21:12.594Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-06-12T22:21:12.594Z] echo "Nothing to be done for teardown."; \ [2025-06-12T22:21:12.594Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17497652166408\\TestTargetResult"; [2025-06-12T22:21:12.594Z] [2025-06-12T22:21:12.594Z] TEST SETUP: [2025-06-12T22:21:12.594Z] Nothing to be done for setup. [2025-06-12T22:21:12.594Z] [2025-06-12T22:21:12.594Z] TESTING: [2025-06-12T22:21:27.311Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-06-12T22:21:34.425Z] 22:21:33.177 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-06-12T22:21:36.114Z] Got 100004 ratings from 671 users on 9066 movies. [2025-06-12T22:21:36.508Z] Training: 60056, validation: 20285, test: 19854 [2025-06-12T22:21:36.508Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-06-12T22:21:36.508Z] GC before operation: completed in 122.674 ms, heap usage 308.837 MB -> 75.963 MB. [2025-06-12T22:21:52.496Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T22:22:03.347Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T22:22:12.018Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T22:22:20.724Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T22:22:25.364Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T22:22:31.081Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T22:22:35.704Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T22:22:40.341Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T22:22:40.341Z] 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. [2025-06-12T22:22:40.341Z] The best model improves the baseline by 14.52%. [2025-06-12T22:22:40.710Z] Top recommended movies for user id 72: [2025-06-12T22:22:40.710Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-12T22:22:40.710Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-12T22:22:40.710Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-12T22:22:40.710Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-12T22:22:40.710Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-12T22:22:40.710Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (64315.051 ms) ====== [2025-06-12T22:22:40.710Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-06-12T22:22:41.072Z] GC before operation: completed in 130.660 ms, heap usage 299.229 MB -> 100.045 MB. [2025-06-12T22:22:49.796Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T22:22:56.862Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T22:23:05.538Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T22:23:12.614Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T22:23:16.272Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T22:23:20.873Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T22:23:25.492Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T22:23:30.137Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T22:23:30.137Z] 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. [2025-06-12T22:23:30.137Z] The best model improves the baseline by 14.52%. [2025-06-12T22:23:30.461Z] Top recommended movies for user id 72: [2025-06-12T22:23:30.461Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-12T22:23:30.461Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-12T22:23:30.461Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-12T22:23:30.461Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-12T22:23:30.461Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-12T22:23:30.461Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (49606.679 ms) ====== [2025-06-12T22:23:30.461Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-06-12T22:23:30.461Z] GC before operation: completed in 102.540 ms, heap usage 371.931 MB -> 90.711 MB. [2025-06-12T22:23:39.168Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T22:23:46.257Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T22:23:54.949Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T22:24:02.030Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T22:24:06.675Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T22:24:11.270Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T22:24:15.897Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T22:24:19.531Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T22:24:19.843Z] 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. [2025-06-12T22:24:19.843Z] The best model improves the baseline by 14.52%. [2025-06-12T22:24:20.174Z] Top recommended movies for user id 72: [2025-06-12T22:24:20.174Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-12T22:24:20.174Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-12T22:24:20.174Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-12T22:24:20.174Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-12T22:24:20.174Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-12T22:24:20.174Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (49633.541 ms) ====== [2025-06-12T22:24:20.174Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-06-12T22:24:20.174Z] GC before operation: completed in 102.057 ms, heap usage 306.652 MB -> 89.465 MB. [2025-06-12T22:24:28.886Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T22:24:37.613Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T22:24:44.682Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T22:24:51.755Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T22:24:56.362Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T22:25:00.022Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T22:25:05.749Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T22:25:08.638Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T22:25:09.442Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-12T22:25:09.442Z] The best model improves the baseline by 14.52%. [2025-06-12T22:25:09.442Z] Top recommended movies for user id 72: [2025-06-12T22:25:09.442Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-12T22:25:09.442Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-12T22:25:09.442Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-12T22:25:09.442Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-12T22:25:09.442Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-12T22:25:09.442Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (49203.603 ms) ====== [2025-06-12T22:25:09.442Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-06-12T22:25:09.762Z] GC before operation: completed in 101.596 ms, heap usage 283.610 MB -> 93.165 MB. [2025-06-12T22:25:16.832Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T22:25:23.971Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T22:25:32.673Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T22:25:39.742Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T22:25:43.379Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T22:25:47.056Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T22:25:51.778Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T22:25:56.383Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T22:25:56.383Z] 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. [2025-06-12T22:25:56.383Z] The best model improves the baseline by 14.52%. [2025-06-12T22:25:56.383Z] Top recommended movies for user id 72: [2025-06-12T22:25:56.383Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-12T22:25:56.383Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-12T22:25:56.383Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-12T22:25:56.383Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-12T22:25:56.383Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-12T22:25:56.383Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (46805.834 ms) ====== [2025-06-12T22:25:56.383Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-06-12T22:25:56.706Z] GC before operation: completed in 107.279 ms, heap usage 167.316 MB -> 89.548 MB. [2025-06-12T22:26:03.769Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T22:26:10.848Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T22:26:19.524Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T22:26:25.244Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T22:26:29.835Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T22:26:33.469Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T22:26:38.076Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T22:26:41.750Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T22:26:42.093Z] 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. [2025-06-12T22:26:42.093Z] The best model improves the baseline by 14.52%. [2025-06-12T22:26:42.470Z] Top recommended movies for user id 72: [2025-06-12T22:26:42.470Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-12T22:26:42.470Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-12T22:26:42.470Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-12T22:26:42.470Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-12T22:26:42.470Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-12T22:26:42.470Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (45743.244 ms) ====== [2025-06-12T22:26:42.470Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-06-12T22:26:42.470Z] GC before operation: completed in 106.384 ms, heap usage 426.786 MB -> 90.341 MB. [2025-06-12T22:26:49.526Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T22:26:56.651Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T22:27:05.304Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T22:27:12.390Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T22:27:16.025Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T22:27:20.617Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T22:27:25.220Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T22:27:28.920Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T22:27:29.240Z] 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. [2025-06-12T22:27:29.240Z] The best model improves the baseline by 14.52%. [2025-06-12T22:27:29.598Z] Top recommended movies for user id 72: [2025-06-12T22:27:29.599Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-12T22:27:29.599Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-12T22:27:29.599Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-12T22:27:29.599Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-12T22:27:29.599Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-12T22:27:29.599Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (47083.569 ms) ====== [2025-06-12T22:27:29.599Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-06-12T22:27:29.599Z] GC before operation: completed in 116.545 ms, heap usage 282.003 MB -> 93.216 MB. [2025-06-12T22:27:36.695Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T22:27:43.771Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T22:27:52.521Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T22:27:58.242Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T22:28:02.888Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T22:28:07.489Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T22:28:12.110Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T22:28:16.695Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T22:28:16.696Z] 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. [2025-06-12T22:28:16.696Z] The best model improves the baseline by 14.52%. [2025-06-12T22:28:17.019Z] Top recommended movies for user id 72: [2025-06-12T22:28:17.019Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-12T22:28:17.019Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-12T22:28:17.019Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-12T22:28:17.019Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-12T22:28:17.019Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-12T22:28:17.019Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (47382.005 ms) ====== [2025-06-12T22:28:17.019Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-06-12T22:28:17.019Z] GC before operation: completed in 107.310 ms, heap usage 373.600 MB -> 93.611 MB. [2025-06-12T22:28:25.687Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T22:28:32.768Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T22:28:41.478Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T22:28:50.206Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T22:28:54.848Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T22:28:59.466Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T22:29:04.080Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T22:29:08.765Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T22:29:08.765Z] 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. [2025-06-12T22:29:08.765Z] The best model improves the baseline by 14.52%. [2025-06-12T22:29:09.101Z] Top recommended movies for user id 72: [2025-06-12T22:29:09.101Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-12T22:29:09.101Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-12T22:29:09.101Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-12T22:29:09.101Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-12T22:29:09.101Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-12T22:29:09.101Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (52077.957 ms) ====== [2025-06-12T22:29:09.101Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-06-12T22:29:09.428Z] GC before operation: completed in 106.570 ms, heap usage 252.359 MB -> 89.974 MB. [2025-06-12T22:29:20.005Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T22:29:28.751Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T22:29:35.865Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T22:29:44.551Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T22:29:47.392Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T22:29:52.000Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T22:29:56.616Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T22:30:01.199Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T22:30:01.199Z] 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. [2025-06-12T22:30:01.199Z] The best model improves the baseline by 14.52%. [2025-06-12T22:30:01.523Z] Top recommended movies for user id 72: [2025-06-12T22:30:01.523Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-12T22:30:01.523Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-12T22:30:01.523Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-12T22:30:01.523Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-12T22:30:01.523Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-12T22:30:01.523Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (52304.833 ms) ====== [2025-06-12T22:30:01.523Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-06-12T22:30:01.849Z] GC before operation: completed in 109.884 ms, heap usage 137.791 MB -> 92.294 MB. [2025-06-12T22:30:08.935Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T22:30:16.007Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T22:30:24.705Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T22:30:31.797Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T22:30:35.447Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T22:30:39.106Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T22:30:43.713Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T22:30:47.366Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T22:30:48.068Z] 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. [2025-06-12T22:30:48.069Z] The best model improves the baseline by 14.52%. [2025-06-12T22:30:48.069Z] Top recommended movies for user id 72: [2025-06-12T22:30:48.069Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-12T22:30:48.069Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-12T22:30:48.069Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-12T22:30:48.069Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-12T22:30:48.069Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-12T22:30:48.069Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (46458.338 ms) ====== [2025-06-12T22:30:48.069Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-06-12T22:30:48.396Z] GC before operation: completed in 106.741 ms, heap usage 195.208 MB -> 89.950 MB. [2025-06-12T22:30:57.132Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T22:31:04.198Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T22:31:12.896Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T22:31:19.974Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T22:31:23.619Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T22:31:28.235Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T22:31:32.825Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T22:31:36.507Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T22:31:36.827Z] 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. [2025-06-12T22:31:36.827Z] The best model improves the baseline by 14.52%. [2025-06-12T22:31:37.152Z] Top recommended movies for user id 72: [2025-06-12T22:31:37.152Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-12T22:31:37.152Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-12T22:31:37.152Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-12T22:31:37.152Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-12T22:31:37.152Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-12T22:31:37.152Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (48886.941 ms) ====== [2025-06-12T22:31:37.152Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-06-12T22:31:37.152Z] GC before operation: completed in 100.660 ms, heap usage 136.764 MB -> 92.258 MB. [2025-06-12T22:31:45.847Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T22:31:52.928Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T22:32:01.584Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T22:32:08.668Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T22:32:12.332Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T22:32:16.621Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T22:32:21.259Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T22:32:24.912Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T22:32:25.648Z] 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. [2025-06-12T22:32:25.648Z] The best model improves the baseline by 14.52%. [2025-06-12T22:32:25.648Z] Top recommended movies for user id 72: [2025-06-12T22:32:25.648Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-12T22:32:25.648Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-12T22:32:25.648Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-12T22:32:25.648Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-12T22:32:25.648Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-12T22:32:25.648Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (48481.694 ms) ====== [2025-06-12T22:32:25.648Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-06-12T22:32:25.969Z] GC before operation: completed in 104.831 ms, heap usage 442.299 MB -> 93.990 MB. [2025-06-12T22:32:33.045Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T22:32:41.712Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T22:32:48.813Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T22:32:55.887Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T22:33:00.494Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T22:33:04.126Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T22:33:08.854Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T22:33:13.525Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T22:33:13.526Z] 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. [2025-06-12T22:33:13.526Z] The best model improves the baseline by 14.52%. [2025-06-12T22:33:13.526Z] Top recommended movies for user id 72: [2025-06-12T22:33:13.526Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-12T22:33:13.526Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-12T22:33:13.526Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-12T22:33:13.526Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-12T22:33:13.526Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-12T22:33:13.526Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (47772.598 ms) ====== [2025-06-12T22:33:13.526Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-06-12T22:33:13.844Z] GC before operation: completed in 105.338 ms, heap usage 316.952 MB -> 93.489 MB. [2025-06-12T22:33:20.907Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T22:33:29.559Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T22:33:36.631Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T22:33:43.744Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T22:33:48.362Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T22:33:52.008Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T22:33:56.621Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T22:34:01.223Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T22:34:01.223Z] 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. [2025-06-12T22:34:01.223Z] The best model improves the baseline by 14.52%. [2025-06-12T22:34:01.547Z] Top recommended movies for user id 72: [2025-06-12T22:34:01.547Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-12T22:34:01.547Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-12T22:34:01.547Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-12T22:34:01.547Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-12T22:34:01.547Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-12T22:34:01.547Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (47755.079 ms) ====== [2025-06-12T22:34:01.547Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-06-12T22:34:01.547Z] GC before operation: completed in 104.538 ms, heap usage 302.713 MB -> 90.468 MB. [2025-06-12T22:34:12.133Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T22:34:17.843Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T22:34:26.542Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T22:34:32.262Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T22:34:36.900Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T22:34:40.633Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T22:34:45.261Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T22:34:48.941Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T22:34:49.699Z] 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. [2025-06-12T22:34:49.699Z] The best model improves the baseline by 14.52%. [2025-06-12T22:34:49.699Z] Top recommended movies for user id 72: [2025-06-12T22:34:49.699Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-12T22:34:49.699Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-12T22:34:49.699Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-12T22:34:49.699Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-12T22:34:49.699Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-12T22:34:49.699Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (48197.000 ms) ====== [2025-06-12T22:34:49.699Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-06-12T22:34:50.019Z] GC before operation: completed in 112.068 ms, heap usage 809.183 MB -> 94.420 MB. [2025-06-12T22:34:57.159Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T22:35:04.265Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T22:35:12.946Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T22:35:18.668Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T22:35:23.267Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T22:35:26.912Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T22:35:31.532Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T22:35:35.190Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T22:35:35.566Z] 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. [2025-06-12T22:35:35.566Z] The best model improves the baseline by 14.52%. [2025-06-12T22:35:35.900Z] Top recommended movies for user id 72: [2025-06-12T22:35:35.900Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-12T22:35:35.900Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-12T22:35:35.900Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-12T22:35:35.900Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-12T22:35:35.900Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-12T22:35:35.900Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (46016.044 ms) ====== [2025-06-12T22:35:35.900Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-06-12T22:35:35.900Z] GC before operation: completed in 111.283 ms, heap usage 198.264 MB -> 90.238 MB. [2025-06-12T22:35:42.990Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T22:35:50.117Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T22:35:58.803Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T22:36:05.875Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T22:36:09.547Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T22:36:14.151Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T22:36:18.762Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T22:36:22.423Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T22:36:22.739Z] 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. [2025-06-12T22:36:22.739Z] The best model improves the baseline by 14.52%. [2025-06-12T22:36:23.060Z] Top recommended movies for user id 72: [2025-06-12T22:36:23.060Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-12T22:36:23.060Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-12T22:36:23.060Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-12T22:36:23.060Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-12T22:36:23.060Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-12T22:36:23.060Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (46997.887 ms) ====== [2025-06-12T22:36:23.060Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-06-12T22:36:23.060Z] GC before operation: completed in 102.165 ms, heap usage 134.299 MB -> 92.257 MB. [2025-06-12T22:36:31.752Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T22:36:38.839Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T22:36:47.519Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T22:36:54.595Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T22:36:58.253Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T22:37:01.916Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T22:37:06.538Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T22:37:10.199Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T22:37:10.880Z] 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. [2025-06-12T22:37:10.880Z] The best model improves the baseline by 14.52%. [2025-06-12T22:37:11.261Z] Top recommended movies for user id 72: [2025-06-12T22:37:11.261Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-12T22:37:11.261Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-12T22:37:11.261Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-12T22:37:11.261Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-12T22:37:11.261Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-12T22:37:11.261Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (47957.067 ms) ====== [2025-06-12T22:37:11.261Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-06-12T22:37:11.261Z] GC before operation: completed in 107.450 ms, heap usage 184.969 MB -> 96.870 MB. [2025-06-12T22:37:18.321Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T22:37:25.381Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T22:37:34.062Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T22:37:41.134Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T22:37:44.785Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T22:37:49.374Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T22:37:53.031Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T22:37:57.638Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T22:37:57.959Z] 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. [2025-06-12T22:37:57.959Z] The best model improves the baseline by 14.52%. [2025-06-12T22:37:58.279Z] Top recommended movies for user id 72: [2025-06-12T22:37:58.279Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-12T22:37:58.279Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-12T22:37:58.279Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-12T22:37:58.279Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-12T22:37:58.279Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-12T22:37:58.279Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (46987.593 ms) ====== [2025-06-12T22:37:58.941Z] ----------------------------------- [2025-06-12T22:37:58.941Z] renaissance-movie-lens_0_PASSED [2025-06-12T22:37:58.941Z] ----------------------------------- [2025-06-12T22:37:59.605Z] [2025-06-12T22:37:59.605Z] TEST TEARDOWN: [2025-06-12T22:37:59.605Z] Nothing to be done for teardown. [2025-06-12T22:37:59.911Z] renaissance-movie-lens_0 Finish Time: Thu Jun 12 22:37:59 2025 Epoch Time (ms): 1749767879598