[2025-11-13T06:03:57.876Z] Running test renaissance-movie-lens_0 ... [2025-11-13T06:03:57.876Z] =============================================== [2025-11-13T06:03:57.876Z] renaissance-movie-lens_0 Start Time: Thu Nov 13 06:03:57 2025 Epoch Time (ms): 1763013837489 [2025-11-13T06:03:57.876Z] variation: NoOptions [2025-11-13T06:03:57.876Z] JVM_OPTIONS: [2025-11-13T06:03:57.876Z] { \ [2025-11-13T06:03:57.876Z] echo ""; echo "TEST SETUP:"; \ [2025-11-13T06:03:57.876Z] echo "Nothing to be done for setup."; \ [2025-11-13T06:03:57.876Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17630116881135/renaissance-movie-lens_0"; \ [2025-11-13T06:03:57.876Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17630116881135/renaissance-movie-lens_0"; \ [2025-11-13T06:03:57.876Z] echo ""; echo "TESTING:"; \ [2025-11-13T06:03:57.877Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-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_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17630116881135/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-11-13T06:03:57.877Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17630116881135/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-11-13T06:03:57.877Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-11-13T06:03:57.877Z] echo "Nothing to be done for teardown."; \ [2025-11-13T06:03:57.877Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17630116881135/TestTargetResult"; [2025-11-13T06:03:57.877Z] [2025-11-13T06:03:57.877Z] TEST SETUP: [2025-11-13T06:03:57.877Z] Nothing to be done for setup. [2025-11-13T06:03:57.877Z] [2025-11-13T06:03:57.877Z] TESTING: [2025-11-13T06:04:04.604Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-11-13T06:04:14.412Z] 06:04:13.390 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. [2025-11-13T06:04:16.397Z] Got 100004 ratings from 671 users on 9066 movies. [2025-11-13T06:04:17.354Z] Training: 60056, validation: 20285, test: 19854 [2025-11-13T06:04:17.354Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-11-13T06:04:17.354Z] GC before operation: completed in 169.437 ms, heap usage 365.892 MB -> 75.863 MB. [2025-11-13T06:04:31.749Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T06:04:38.526Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T06:04:45.309Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T06:04:52.074Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T06:04:56.264Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T06:04:59.309Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T06:05:02.353Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T06:05:06.548Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T06:05:06.548Z] 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. [2025-11-13T06:05:06.548Z] The best model improves the baseline by 14.52%. [2025-11-13T06:05:07.505Z] Top recommended movies for user id 72: [2025-11-13T06:05:07.505Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-13T06:05:07.505Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-13T06:05:07.505Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-13T06:05:07.505Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-13T06:05:07.505Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-13T06:05:07.505Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (49604.411 ms) ====== [2025-11-13T06:05:07.505Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-11-13T06:05:07.505Z] GC before operation: completed in 284.414 ms, heap usage 232.449 MB -> 87.570 MB. [2025-11-13T06:05:14.256Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T06:05:19.668Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T06:05:25.083Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T06:05:29.215Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T06:05:32.263Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T06:05:34.238Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T06:05:38.423Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T06:05:40.410Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T06:05:41.364Z] 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. [2025-11-13T06:05:41.364Z] The best model improves the baseline by 14.52%. [2025-11-13T06:05:42.320Z] Top recommended movies for user id 72: [2025-11-13T06:05:42.320Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-13T06:05:42.320Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-13T06:05:42.320Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-13T06:05:42.320Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-13T06:05:42.320Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-13T06:05:42.320Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (34303.348 ms) ====== [2025-11-13T06:05:42.320Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-11-13T06:05:42.320Z] GC before operation: completed in 201.894 ms, heap usage 239.080 MB -> 88.494 MB. [2025-11-13T06:05:47.757Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T06:05:51.943Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T06:05:57.368Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T06:06:02.788Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T06:06:05.833Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T06:06:07.815Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T06:06:10.849Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T06:06:13.884Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T06:06:14.842Z] 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. [2025-11-13T06:06:14.842Z] The best model improves the baseline by 14.52%. [2025-11-13T06:06:14.842Z] Top recommended movies for user id 72: [2025-11-13T06:06:14.842Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-13T06:06:14.842Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-13T06:06:14.842Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-13T06:06:14.842Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-13T06:06:14.842Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-13T06:06:14.842Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (32780.381 ms) ====== [2025-11-13T06:06:14.842Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-11-13T06:06:14.842Z] GC before operation: completed in 272.894 ms, heap usage 183.683 MB -> 89.187 MB. [2025-11-13T06:06:20.245Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T06:06:25.164Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T06:06:30.619Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T06:06:34.786Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T06:06:37.853Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T06:06:40.887Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T06:06:43.920Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T06:06:46.945Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T06:06:47.906Z] 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. [2025-11-13T06:06:47.906Z] The best model improves the baseline by 14.52%. [2025-11-13T06:06:47.906Z] Top recommended movies for user id 72: [2025-11-13T06:06:47.906Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-13T06:06:47.906Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-13T06:06:47.906Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-13T06:06:47.906Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-13T06:06:47.906Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-13T06:06:47.906Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (32805.282 ms) ====== [2025-11-13T06:06:47.906Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-11-13T06:06:47.906Z] GC before operation: completed in 343.905 ms, heap usage 398.837 MB -> 89.791 MB. [2025-11-13T06:06:53.317Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T06:06:58.748Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T06:07:02.932Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T06:07:08.347Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T06:07:10.330Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T06:07:13.384Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T06:07:16.431Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T06:07:19.477Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T06:07:19.477Z] 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. [2025-11-13T06:07:19.477Z] The best model improves the baseline by 14.52%. [2025-11-13T06:07:20.441Z] Top recommended movies for user id 72: [2025-11-13T06:07:20.441Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-13T06:07:20.441Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-13T06:07:20.441Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-13T06:07:20.441Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-13T06:07:20.441Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-13T06:07:20.441Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (31741.116 ms) ====== [2025-11-13T06:07:20.441Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-11-13T06:07:20.441Z] GC before operation: completed in 324.355 ms, heap usage 809.454 MB -> 93.538 MB. [2025-11-13T06:07:26.594Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T06:07:30.785Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T06:07:36.210Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T06:07:40.409Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T06:07:43.441Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T06:07:46.489Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T06:07:49.537Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T06:07:51.515Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T06:07:52.471Z] 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. [2025-11-13T06:07:52.471Z] The best model improves the baseline by 14.52%. [2025-11-13T06:07:52.471Z] Top recommended movies for user id 72: [2025-11-13T06:07:52.471Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-13T06:07:52.471Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-13T06:07:52.471Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-13T06:07:52.471Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-13T06:07:52.471Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-13T06:07:52.471Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (32297.172 ms) ====== [2025-11-13T06:07:52.471Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-11-13T06:07:52.471Z] GC before operation: completed in 249.977 ms, heap usage 305.844 MB -> 90.042 MB. [2025-11-13T06:07:57.882Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T06:08:03.282Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T06:08:07.459Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T06:08:11.630Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T06:08:13.787Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T06:08:16.879Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T06:08:18.861Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T06:08:21.544Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T06:08:22.504Z] 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. [2025-11-13T06:08:22.504Z] The best model improves the baseline by 14.52%. [2025-11-13T06:08:22.504Z] Top recommended movies for user id 72: [2025-11-13T06:08:22.504Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-13T06:08:22.504Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-13T06:08:22.504Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-13T06:08:22.504Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-13T06:08:22.504Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-13T06:08:22.504Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (29440.802 ms) ====== [2025-11-13T06:08:22.504Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-11-13T06:08:22.504Z] GC before operation: completed in 242.454 ms, heap usage 442.242 MB -> 90.086 MB. [2025-11-13T06:08:26.682Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T06:08:30.871Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T06:08:35.035Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T06:08:38.070Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T06:08:40.030Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T06:08:42.003Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T06:08:43.969Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T06:08:45.991Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T06:08:46.948Z] 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. [2025-11-13T06:08:46.948Z] The best model improves the baseline by 14.52%. [2025-11-13T06:08:46.948Z] Top recommended movies for user id 72: [2025-11-13T06:08:46.948Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-13T06:08:46.948Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-13T06:08:46.948Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-13T06:08:46.948Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-13T06:08:46.948Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-13T06:08:46.948Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (24500.786 ms) ====== [2025-11-13T06:08:46.948Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-11-13T06:08:46.948Z] GC before operation: completed in 178.338 ms, heap usage 303.698 MB -> 90.158 MB. [2025-11-13T06:08:51.126Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T06:08:53.091Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T06:08:56.123Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T06:09:00.296Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T06:09:02.257Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T06:09:04.222Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T06:09:06.196Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T06:09:09.234Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T06:09:09.234Z] 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. [2025-11-13T06:09:09.234Z] The best model improves the baseline by 14.52%. [2025-11-13T06:09:09.234Z] Top recommended movies for user id 72: [2025-11-13T06:09:09.234Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-13T06:09:09.234Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-13T06:09:09.234Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-13T06:09:09.234Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-13T06:09:09.234Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-13T06:09:09.234Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (22413.668 ms) ====== [2025-11-13T06:09:09.234Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-11-13T06:09:10.197Z] GC before operation: completed in 282.896 ms, heap usage 167.262 MB -> 91.354 MB. [2025-11-13T06:09:14.410Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T06:09:19.331Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T06:09:23.511Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T06:09:27.699Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T06:09:30.742Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T06:09:32.726Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T06:09:35.790Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T06:09:37.755Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T06:09:38.714Z] 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. [2025-11-13T06:09:38.714Z] The best model improves the baseline by 14.52%. [2025-11-13T06:09:38.714Z] Top recommended movies for user id 72: [2025-11-13T06:09:38.714Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-13T06:09:38.714Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-13T06:09:38.714Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-13T06:09:38.714Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-13T06:09:38.714Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-13T06:09:38.714Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (28996.165 ms) ====== [2025-11-13T06:09:38.714Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-11-13T06:09:39.671Z] GC before operation: completed in 268.027 ms, heap usage 387.579 MB -> 90.288 MB. [2025-11-13T06:09:43.853Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T06:09:48.037Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T06:09:52.223Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T06:09:56.406Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T06:09:59.519Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T06:10:01.490Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T06:10:04.527Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T06:10:07.583Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T06:10:07.583Z] 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. [2025-11-13T06:10:07.583Z] The best model improves the baseline by 14.52%. [2025-11-13T06:10:08.540Z] Top recommended movies for user id 72: [2025-11-13T06:10:08.540Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-13T06:10:08.540Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-13T06:10:08.540Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-13T06:10:08.540Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-13T06:10:08.540Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-13T06:10:08.540Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (29047.710 ms) ====== [2025-11-13T06:10:08.540Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-11-13T06:10:08.540Z] GC before operation: completed in 265.537 ms, heap usage 161.508 MB -> 89.745 MB. [2025-11-13T06:10:12.712Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T06:10:17.600Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T06:10:21.777Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T06:10:25.965Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T06:10:29.046Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T06:10:31.019Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T06:10:32.986Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T06:10:36.035Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T06:10:36.035Z] 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. [2025-11-13T06:10:36.035Z] The best model improves the baseline by 14.52%. [2025-11-13T06:10:36.035Z] Top recommended movies for user id 72: [2025-11-13T06:10:36.035Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-13T06:10:36.035Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-13T06:10:36.035Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-13T06:10:36.035Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-13T06:10:36.035Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-13T06:10:36.035Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (27853.576 ms) ====== [2025-11-13T06:10:36.035Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-11-13T06:10:36.999Z] GC before operation: completed in 262.659 ms, heap usage 231.430 MB -> 90.004 MB. [2025-11-13T06:10:40.028Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T06:10:44.883Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T06:10:47.914Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T06:10:52.089Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T06:10:55.130Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T06:10:57.111Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T06:11:00.148Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T06:11:02.117Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T06:11:03.076Z] 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. [2025-11-13T06:11:03.076Z] The best model improves the baseline by 14.52%. [2025-11-13T06:11:03.076Z] Top recommended movies for user id 72: [2025-11-13T06:11:03.076Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-13T06:11:03.076Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-13T06:11:03.076Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-13T06:11:03.076Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-13T06:11:03.076Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-13T06:11:03.076Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (26346.163 ms) ====== [2025-11-13T06:11:03.076Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-11-13T06:11:03.076Z] GC before operation: completed in 237.305 ms, heap usage 501.430 MB -> 90.578 MB. [2025-11-13T06:11:07.250Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T06:11:11.438Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T06:11:15.599Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T06:11:18.634Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T06:11:21.662Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T06:11:23.632Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T06:11:25.611Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T06:11:28.655Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T06:11:28.655Z] 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. [2025-11-13T06:11:28.655Z] The best model improves the baseline by 14.52%. [2025-11-13T06:11:28.655Z] Top recommended movies for user id 72: [2025-11-13T06:11:28.655Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-13T06:11:28.655Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-13T06:11:28.655Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-13T06:11:28.655Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-13T06:11:28.655Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-13T06:11:28.655Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (25449.312 ms) ====== [2025-11-13T06:11:28.655Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-11-13T06:11:28.655Z] GC before operation: completed in 138.999 ms, heap usage 283.963 MB -> 90.131 MB. [2025-11-13T06:11:31.674Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T06:11:33.632Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T06:11:35.597Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T06:11:38.620Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T06:11:39.576Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T06:11:40.531Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T06:11:42.487Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T06:11:43.443Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T06:11:43.443Z] 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. [2025-11-13T06:11:44.396Z] The best model improves the baseline by 14.52%. [2025-11-13T06:11:44.396Z] Top recommended movies for user id 72: [2025-11-13T06:11:44.396Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-13T06:11:44.396Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-13T06:11:44.396Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-13T06:11:44.396Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-13T06:11:44.396Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-13T06:11:44.396Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15303.776 ms) ====== [2025-11-13T06:11:44.396Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-11-13T06:11:44.396Z] GC before operation: completed in 140.642 ms, heap usage 193.275 MB -> 90.165 MB. [2025-11-13T06:11:46.352Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T06:11:49.373Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T06:11:51.338Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T06:11:54.000Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T06:11:54.951Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T06:11:55.903Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T06:11:56.857Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T06:11:58.820Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T06:11:58.820Z] 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. [2025-11-13T06:11:58.820Z] The best model improves the baseline by 14.52%. [2025-11-13T06:11:58.820Z] Top recommended movies for user id 72: [2025-11-13T06:11:58.820Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-13T06:11:58.820Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-13T06:11:58.820Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-13T06:11:58.820Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-13T06:11:58.820Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-13T06:11:58.820Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14541.756 ms) ====== [2025-11-13T06:11:58.820Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-11-13T06:11:58.820Z] GC before operation: completed in 141.893 ms, heap usage 202.723 MB -> 90.085 MB. [2025-11-13T06:12:01.842Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T06:12:03.847Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T06:12:05.805Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T06:12:07.764Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T06:12:09.800Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T06:12:10.820Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T06:12:12.813Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T06:12:13.772Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T06:12:13.772Z] 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. [2025-11-13T06:12:13.772Z] The best model improves the baseline by 14.52%. [2025-11-13T06:12:13.772Z] Top recommended movies for user id 72: [2025-11-13T06:12:13.772Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-13T06:12:13.772Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-13T06:12:13.772Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-13T06:12:13.772Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-13T06:12:13.772Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-13T06:12:13.772Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15273.678 ms) ====== [2025-11-13T06:12:13.772Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-11-13T06:12:14.724Z] GC before operation: completed in 148.515 ms, heap usage 371.719 MB -> 90.307 MB. [2025-11-13T06:12:16.686Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T06:12:20.896Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T06:12:23.922Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T06:12:25.878Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T06:12:27.838Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T06:12:29.792Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T06:12:30.746Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T06:12:32.701Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T06:12:32.701Z] 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. [2025-11-13T06:12:32.701Z] The best model improves the baseline by 14.52%. [2025-11-13T06:12:32.701Z] Top recommended movies for user id 72: [2025-11-13T06:12:32.701Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-13T06:12:32.701Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-13T06:12:32.701Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-13T06:12:32.701Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-13T06:12:32.701Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-13T06:12:32.701Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (18536.338 ms) ====== [2025-11-13T06:12:32.701Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-11-13T06:12:32.701Z] GC before operation: completed in 140.411 ms, heap usage 117.906 MB -> 89.857 MB. [2025-11-13T06:12:35.727Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T06:12:37.685Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T06:12:39.640Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T06:12:41.594Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T06:12:43.264Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T06:12:44.252Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T06:12:46.211Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T06:12:47.166Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T06:12:47.166Z] 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. [2025-11-13T06:12:47.166Z] The best model improves the baseline by 14.52%. [2025-11-13T06:12:48.120Z] Top recommended movies for user id 72: [2025-11-13T06:12:48.120Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-13T06:12:48.120Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-13T06:12:48.120Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-13T06:12:48.120Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-13T06:12:48.120Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-13T06:12:48.120Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14658.510 ms) ====== [2025-11-13T06:12:48.120Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-11-13T06:12:48.120Z] GC before operation: completed in 134.988 ms, heap usage 203.127 MB -> 90.045 MB. [2025-11-13T06:12:50.071Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T06:12:52.036Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T06:12:55.063Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T06:12:57.024Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T06:12:58.993Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T06:13:00.952Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T06:13:01.910Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T06:13:03.867Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T06:13:03.867Z] 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. [2025-11-13T06:13:03.867Z] The best model improves the baseline by 14.52%. [2025-11-13T06:13:03.867Z] Top recommended movies for user id 72: [2025-11-13T06:13:03.867Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-13T06:13:03.867Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-13T06:13:03.867Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-13T06:13:03.867Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-13T06:13:03.867Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-13T06:13:03.867Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (15809.685 ms) ====== [2025-11-13T06:13:04.822Z] ----------------------------------- [2025-11-13T06:13:04.822Z] renaissance-movie-lens_0_PASSED [2025-11-13T06:13:04.822Z] ----------------------------------- [2025-11-13T06:13:04.822Z] [2025-11-13T06:13:04.822Z] TEST TEARDOWN: [2025-11-13T06:13:04.822Z] Nothing to be done for teardown. [2025-11-13T06:13:04.822Z] renaissance-movie-lens_0 Finish Time: Thu Nov 13 06:13:03 2025 Epoch Time (ms): 1763014383802