[2025-08-13T23:47:01.329Z] Running test renaissance-movie-lens_0 ... [2025-08-13T23:47:01.329Z] =============================================== [2025-08-13T23:47:01.329Z] renaissance-movie-lens_0 Start Time: Wed Aug 13 23:47:00 2025 Epoch Time (ms): 1755128820495 [2025-08-13T23:47:01.329Z] variation: NoOptions [2025-08-13T23:47:01.329Z] JVM_OPTIONS: [2025-08-13T23:47:01.329Z] { \ [2025-08-13T23:47:01.329Z] echo ""; echo "TEST SETUP:"; \ [2025-08-13T23:47:01.329Z] echo "Nothing to be done for setup."; \ [2025-08-13T23:47:01.329Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17551271249815/renaissance-movie-lens_0"; \ [2025-08-13T23:47:01.329Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17551271249815/renaissance-movie-lens_0"; \ [2025-08-13T23:47:01.329Z] echo ""; echo "TESTING:"; \ [2025-08-13T23:47:01.329Z] "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17551271249815/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-08-13T23:47:01.329Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17551271249815/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-08-13T23:47:01.329Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-08-13T23:47:01.329Z] echo "Nothing to be done for teardown."; \ [2025-08-13T23:47:01.329Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17551271249815/TestTargetResult"; [2025-08-13T23:47:01.329Z] [2025-08-13T23:47:01.329Z] TEST SETUP: [2025-08-13T23:47:01.329Z] Nothing to be done for setup. [2025-08-13T23:47:01.329Z] [2025-08-13T23:47:01.330Z] TESTING: [2025-08-13T23:47:06.670Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-08-13T23:47:15.557Z] 23:47:14.580 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. [2025-08-13T23:47:17.505Z] Got 100004 ratings from 671 users on 9066 movies. [2025-08-13T23:47:18.453Z] Training: 60056, validation: 20285, test: 19854 [2025-08-13T23:47:18.453Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-08-13T23:47:18.453Z] GC before operation: completed in 184.121 ms, heap usage 170.925 MB -> 74.357 MB. [2025-08-13T23:47:25.116Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-13T23:47:29.250Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-13T23:47:32.555Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-13T23:47:35.648Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-13T23:47:37.599Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-13T23:47:40.602Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-13T23:47:42.546Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-13T23:47:44.492Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-13T23:47:44.492Z] 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. [2025-08-13T23:47:44.492Z] The best model improves the baseline by 14.52%. [2025-08-13T23:47:45.440Z] Top recommended movies for user id 72: [2025-08-13T23:47:45.440Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-13T23:47:45.440Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-13T23:47:45.440Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-13T23:47:45.440Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-13T23:47:45.440Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-13T23:47:45.440Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (26764.604 ms) ====== [2025-08-13T23:47:45.440Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-08-13T23:47:45.440Z] GC before operation: completed in 206.528 ms, heap usage 341.566 MB -> 88.637 MB. [2025-08-13T23:47:48.446Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-13T23:47:52.608Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-13T23:47:55.611Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-13T23:47:58.620Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-13T23:48:00.562Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-13T23:48:02.506Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-13T23:48:05.507Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-13T23:48:07.451Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-13T23:48:07.451Z] 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. [2025-08-13T23:48:07.451Z] The best model improves the baseline by 14.52%. [2025-08-13T23:48:07.452Z] Top recommended movies for user id 72: [2025-08-13T23:48:07.452Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-13T23:48:07.452Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-13T23:48:07.452Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-13T23:48:07.452Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-13T23:48:07.452Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-13T23:48:07.452Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (22380.814 ms) ====== [2025-08-13T23:48:07.452Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-08-13T23:48:07.452Z] GC before operation: completed in 185.144 ms, heap usage 130.089 MB -> 87.372 MB. [2025-08-13T23:48:11.590Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-13T23:48:14.589Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-13T23:48:17.262Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-13T23:48:20.271Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-13T23:48:23.345Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-13T23:48:24.293Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-13T23:48:27.295Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-13T23:48:28.259Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-13T23:48:29.226Z] 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. [2025-08-13T23:48:29.226Z] The best model improves the baseline by 14.52%. [2025-08-13T23:48:29.226Z] Top recommended movies for user id 72: [2025-08-13T23:48:29.226Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-13T23:48:29.226Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-13T23:48:29.226Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-13T23:48:29.226Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-13T23:48:29.226Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-13T23:48:29.226Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (21423.758 ms) ====== [2025-08-13T23:48:29.226Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-08-13T23:48:29.226Z] GC before operation: completed in 184.024 ms, heap usage 399.145 MB -> 88.366 MB. [2025-08-13T23:48:32.383Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-13T23:48:35.401Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-13T23:48:39.535Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-13T23:48:41.482Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-13T23:48:44.483Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-13T23:48:46.426Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-13T23:48:48.368Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-13T23:48:49.489Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-13T23:48:50.436Z] 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. [2025-08-13T23:48:50.436Z] The best model improves the baseline by 14.52%. [2025-08-13T23:48:50.436Z] Top recommended movies for user id 72: [2025-08-13T23:48:50.436Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-13T23:48:50.436Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-13T23:48:50.436Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-13T23:48:50.436Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-13T23:48:50.436Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-13T23:48:50.436Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20886.126 ms) ====== [2025-08-13T23:48:50.436Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-08-13T23:48:50.436Z] GC before operation: completed in 173.867 ms, heap usage 387.719 MB -> 88.629 MB. [2025-08-13T23:48:53.554Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-13T23:48:56.609Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-13T23:49:00.751Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-13T23:49:02.699Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-13T23:49:04.644Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-13T23:49:07.661Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-13T23:49:08.606Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-13T23:49:11.611Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-13T23:49:11.611Z] 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. [2025-08-13T23:49:11.611Z] The best model improves the baseline by 14.52%. [2025-08-13T23:49:11.611Z] Top recommended movies for user id 72: [2025-08-13T23:49:11.611Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-13T23:49:11.611Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-13T23:49:11.611Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-13T23:49:11.611Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-13T23:49:11.611Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-13T23:49:11.611Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (21136.095 ms) ====== [2025-08-13T23:49:11.611Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-08-13T23:49:11.611Z] GC before operation: completed in 206.119 ms, heap usage 431.456 MB -> 88.574 MB. [2025-08-13T23:49:15.065Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-13T23:49:18.067Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-13T23:49:21.075Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-13T23:49:24.082Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-13T23:49:26.032Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-13T23:49:27.978Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-13T23:49:29.922Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-13T23:49:30.867Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-13T23:49:31.814Z] 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. [2025-08-13T23:49:31.814Z] The best model improves the baseline by 14.52%. [2025-08-13T23:49:31.814Z] Top recommended movies for user id 72: [2025-08-13T23:49:31.814Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-13T23:49:31.814Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-13T23:49:31.814Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-13T23:49:31.814Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-13T23:49:31.814Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-13T23:49:31.814Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19948.860 ms) ====== [2025-08-13T23:49:31.814Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-08-13T23:49:31.814Z] GC before operation: completed in 183.007 ms, heap usage 328.200 MB -> 88.808 MB. [2025-08-13T23:49:34.823Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-13T23:49:37.827Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-13T23:49:40.827Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-13T23:49:43.828Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-13T23:49:45.773Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-13T23:49:47.719Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-13T23:49:48.667Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-13T23:49:50.610Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-13T23:49:51.557Z] 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. [2025-08-13T23:49:51.557Z] The best model improves the baseline by 14.52%. [2025-08-13T23:49:51.557Z] Top recommended movies for user id 72: [2025-08-13T23:49:51.558Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-13T23:49:51.558Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-13T23:49:51.558Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-13T23:49:51.558Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-13T23:49:51.558Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-13T23:49:51.558Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19584.831 ms) ====== [2025-08-13T23:49:51.558Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-08-13T23:49:51.558Z] GC before operation: completed in 175.613 ms, heap usage 438.375 MB -> 88.936 MB. [2025-08-13T23:49:54.558Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-13T23:49:57.560Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-13T23:50:00.559Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-13T23:50:03.571Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-13T23:50:05.513Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-13T23:50:07.456Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-13T23:50:10.101Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-13T23:50:11.047Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-13T23:50:11.047Z] 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. [2025-08-13T23:50:11.047Z] The best model improves the baseline by 14.52%. [2025-08-13T23:50:12.050Z] Top recommended movies for user id 72: [2025-08-13T23:50:12.050Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-13T23:50:12.050Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-13T23:50:12.050Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-13T23:50:12.050Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-13T23:50:12.050Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-13T23:50:12.050Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19903.510 ms) ====== [2025-08-13T23:50:12.050Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-08-13T23:50:12.050Z] GC before operation: completed in 173.336 ms, heap usage 161.811 MB -> 88.801 MB. [2025-08-13T23:50:15.051Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-13T23:50:18.057Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-13T23:50:21.082Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-13T23:50:23.025Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-13T23:50:24.970Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-13T23:50:26.913Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-13T23:50:28.861Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-13T23:50:29.811Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-13T23:50:30.757Z] 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. [2025-08-13T23:50:30.757Z] The best model improves the baseline by 14.52%. [2025-08-13T23:50:30.757Z] Top recommended movies for user id 72: [2025-08-13T23:50:30.757Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-13T23:50:30.757Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-13T23:50:30.757Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-13T23:50:30.757Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-13T23:50:30.757Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-13T23:50:30.757Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (18840.717 ms) ====== [2025-08-13T23:50:30.757Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-08-13T23:50:30.757Z] GC before operation: completed in 166.698 ms, heap usage 479.260 MB -> 89.012 MB. [2025-08-13T23:50:33.785Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-13T23:50:36.785Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-13T23:50:39.788Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-13T23:50:41.737Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-13T23:50:43.679Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-13T23:50:45.624Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-13T23:50:47.567Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-13T23:50:49.511Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-13T23:50:49.511Z] 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. [2025-08-13T23:50:49.511Z] The best model improves the baseline by 14.52%. [2025-08-13T23:50:49.511Z] Top recommended movies for user id 72: [2025-08-13T23:50:49.511Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-13T23:50:49.511Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-13T23:50:49.511Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-13T23:50:49.511Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-13T23:50:49.511Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-13T23:50:49.511Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (18678.421 ms) ====== [2025-08-13T23:50:49.511Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-08-13T23:50:49.511Z] GC before operation: completed in 168.479 ms, heap usage 334.417 MB -> 89.015 MB. [2025-08-13T23:50:52.515Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-13T23:50:55.524Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-13T23:50:58.531Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-13T23:51:01.607Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-13T23:51:02.573Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-13T23:51:04.521Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-13T23:51:07.367Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-13T23:51:08.355Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-13T23:51:08.355Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-13T23:51:08.355Z] The best model improves the baseline by 14.52%. [2025-08-13T23:51:08.355Z] Top recommended movies for user id 72: [2025-08-13T23:51:08.355Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-13T23:51:08.355Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-13T23:51:08.355Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-13T23:51:08.355Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-13T23:51:08.355Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-13T23:51:08.355Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18616.048 ms) ====== [2025-08-13T23:51:08.355Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-08-13T23:51:08.355Z] GC before operation: completed in 151.155 ms, heap usage 558.431 MB -> 92.266 MB. [2025-08-13T23:51:11.359Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-13T23:51:14.364Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-13T23:51:17.375Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-13T23:51:19.323Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-13T23:51:21.268Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-13T23:51:23.211Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-13T23:51:25.155Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-13T23:51:27.104Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-13T23:51:27.104Z] 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. [2025-08-13T23:51:27.104Z] The best model improves the baseline by 14.52%. [2025-08-13T23:51:27.104Z] Top recommended movies for user id 72: [2025-08-13T23:51:27.104Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-13T23:51:27.104Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-13T23:51:27.104Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-13T23:51:27.104Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-13T23:51:27.104Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-13T23:51:27.104Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18679.506 ms) ====== [2025-08-13T23:51:27.104Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-08-13T23:51:27.104Z] GC before operation: completed in 165.980 ms, heap usage 402.338 MB -> 89.038 MB. [2025-08-13T23:51:30.105Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-13T23:51:33.184Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-13T23:51:36.196Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-13T23:51:38.145Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-13T23:51:41.151Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-13T23:51:42.098Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-13T23:51:44.042Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-13T23:51:45.984Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-13T23:51:45.984Z] 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. [2025-08-13T23:51:46.931Z] The best model improves the baseline by 14.52%. [2025-08-13T23:51:46.931Z] Top recommended movies for user id 72: [2025-08-13T23:51:46.931Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-13T23:51:46.931Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-13T23:51:46.931Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-13T23:51:46.931Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-13T23:51:46.931Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-13T23:51:46.931Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19382.224 ms) ====== [2025-08-13T23:51:46.931Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-08-13T23:51:46.931Z] GC before operation: completed in 171.157 ms, heap usage 97.818 MB -> 88.679 MB. [2025-08-13T23:51:49.944Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-13T23:51:52.941Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-13T23:51:55.982Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-13T23:51:58.981Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-13T23:52:00.963Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-13T23:52:03.610Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-13T23:52:04.560Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-13T23:52:06.504Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-13T23:52:06.504Z] 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. [2025-08-13T23:52:06.504Z] The best model improves the baseline by 14.52%. [2025-08-13T23:52:06.504Z] Top recommended movies for user id 72: [2025-08-13T23:52:06.504Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-13T23:52:06.504Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-13T23:52:06.504Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-13T23:52:06.504Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-13T23:52:06.504Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-13T23:52:06.504Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19926.439 ms) ====== [2025-08-13T23:52:06.504Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-08-13T23:52:06.504Z] GC before operation: completed in 181.095 ms, heap usage 326.876 MB -> 88.867 MB. [2025-08-13T23:52:09.523Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-13T23:52:12.521Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-13T23:52:15.543Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-13T23:52:18.541Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-13T23:52:20.500Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-13T23:52:22.442Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-13T23:52:24.389Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-13T23:52:26.368Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-13T23:52:26.368Z] 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. [2025-08-13T23:52:26.368Z] The best model improves the baseline by 14.52%. [2025-08-13T23:52:26.368Z] Top recommended movies for user id 72: [2025-08-13T23:52:26.368Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-13T23:52:26.368Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-13T23:52:26.368Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-13T23:52:26.368Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-13T23:52:26.368Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-13T23:52:26.368Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19608.264 ms) ====== [2025-08-13T23:52:26.368Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-08-13T23:52:26.368Z] GC before operation: completed in 162.945 ms, heap usage 453.712 MB -> 89.281 MB. [2025-08-13T23:52:29.367Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-13T23:52:32.396Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-13T23:52:35.404Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-13T23:52:38.408Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-13T23:52:40.358Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-13T23:52:42.307Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-13T23:52:44.248Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-13T23:52:46.194Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-13T23:52:46.194Z] 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. [2025-08-13T23:52:46.194Z] The best model improves the baseline by 14.52%. [2025-08-13T23:52:46.194Z] Top recommended movies for user id 72: [2025-08-13T23:52:46.194Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-13T23:52:46.195Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-13T23:52:46.195Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-13T23:52:46.195Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-13T23:52:46.195Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-13T23:52:46.195Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (19505.862 ms) ====== [2025-08-13T23:52:46.195Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-08-13T23:52:46.195Z] GC before operation: completed in 182.720 ms, heap usage 405.965 MB -> 89.037 MB. [2025-08-13T23:52:49.192Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-13T23:52:52.188Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-13T23:52:55.188Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-13T23:52:58.219Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-13T23:53:00.858Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-13T23:53:01.803Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-13T23:53:03.744Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-13T23:53:05.689Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-13T23:53:05.689Z] 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. [2025-08-13T23:53:05.689Z] The best model improves the baseline by 14.52%. [2025-08-13T23:53:05.689Z] Top recommended movies for user id 72: [2025-08-13T23:53:05.689Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-13T23:53:05.689Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-13T23:53:05.689Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-13T23:53:05.689Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-13T23:53:05.689Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-13T23:53:05.689Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19294.844 ms) ====== [2025-08-13T23:53:05.689Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-08-13T23:53:05.689Z] GC before operation: completed in 166.719 ms, heap usage 496.027 MB -> 89.294 MB. [2025-08-13T23:53:08.685Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-13T23:53:11.683Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-13T23:53:14.695Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-13T23:53:17.692Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-13T23:53:19.635Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-13T23:53:21.580Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-13T23:53:23.523Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-13T23:53:24.469Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-13T23:53:25.420Z] 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. [2025-08-13T23:53:25.420Z] The best model improves the baseline by 14.52%. [2025-08-13T23:53:25.420Z] Top recommended movies for user id 72: [2025-08-13T23:53:25.420Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-13T23:53:25.420Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-13T23:53:25.420Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-13T23:53:25.420Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-13T23:53:25.420Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-13T23:53:25.420Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19400.073 ms) ====== [2025-08-13T23:53:25.420Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-08-13T23:53:25.420Z] GC before operation: completed in 168.497 ms, heap usage 467.312 MB -> 89.051 MB. [2025-08-13T23:53:28.426Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-13T23:53:31.507Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-13T23:53:33.448Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-13T23:53:36.447Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-13T23:53:38.392Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-13T23:53:40.334Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-13T23:53:42.283Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-13T23:53:43.246Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-13T23:53:44.192Z] 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. [2025-08-13T23:53:44.192Z] The best model improves the baseline by 14.52%. [2025-08-13T23:53:44.192Z] Top recommended movies for user id 72: [2025-08-13T23:53:44.192Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-13T23:53:44.192Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-13T23:53:44.192Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-13T23:53:44.192Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-13T23:53:44.192Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-13T23:53:44.192Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18811.756 ms) ====== [2025-08-13T23:53:44.192Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-08-13T23:53:44.192Z] GC before operation: completed in 170.022 ms, heap usage 486.898 MB -> 89.193 MB. [2025-08-13T23:53:48.041Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-13T23:53:50.159Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-13T23:53:53.152Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-13T23:53:56.147Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-13T23:53:58.088Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-13T23:53:59.902Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-13T23:54:01.849Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-13T23:54:03.792Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-13T23:54:03.792Z] 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. [2025-08-13T23:54:03.792Z] The best model improves the baseline by 14.52%. [2025-08-13T23:54:03.792Z] Top recommended movies for user id 72: [2025-08-13T23:54:03.792Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-13T23:54:03.792Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-13T23:54:03.792Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-13T23:54:03.792Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-13T23:54:03.792Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-13T23:54:03.792Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19429.937 ms) ====== [2025-08-13T23:54:04.738Z] ----------------------------------- [2025-08-13T23:54:04.738Z] renaissance-movie-lens_0_PASSED [2025-08-13T23:54:04.738Z] ----------------------------------- [2025-08-13T23:54:04.738Z] [2025-08-13T23:54:04.738Z] TEST TEARDOWN: [2025-08-13T23:54:04.738Z] Nothing to be done for teardown. [2025-08-13T23:54:04.738Z] renaissance-movie-lens_0 Finish Time: Wed Aug 13 23:54:03 2025 Epoch Time (ms): 1755129243886