[2025-06-18T20:45:33.042Z] Running test renaissance-movie-lens_0 ... [2025-06-18T20:45:33.042Z] =============================================== [2025-06-18T20:45:33.042Z] renaissance-movie-lens_0 Start Time: Wed Jun 18 20:45:31 2025 Epoch Time (ms): 1750279531706 [2025-06-18T20:45:33.042Z] variation: NoOptions [2025-06-18T20:45:33.042Z] JVM_OPTIONS: [2025-06-18T20:45:33.042Z] { \ [2025-06-18T20:45:33.042Z] echo ""; echo "TEST SETUP:"; \ [2025-06-18T20:45:33.042Z] echo "Nothing to be done for setup."; \ [2025-06-18T20:45:33.042Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17502780842826/renaissance-movie-lens_0"; \ [2025-06-18T20:45:33.042Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17502780842826/renaissance-movie-lens_0"; \ [2025-06-18T20:45:33.042Z] echo ""; echo "TESTING:"; \ [2025-06-18T20:45:33.042Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_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_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17502780842826/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-06-18T20:45:33.042Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17502780842826/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-06-18T20:45:33.042Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-06-18T20:45:33.042Z] echo "Nothing to be done for teardown."; \ [2025-06-18T20:45:33.042Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17502780842826/TestTargetResult"; [2025-06-18T20:45:33.042Z] [2025-06-18T20:45:33.042Z] TEST SETUP: [2025-06-18T20:45:33.042Z] Nothing to be done for setup. [2025-06-18T20:45:33.042Z] [2025-06-18T20:45:33.042Z] TESTING: [2025-06-18T20:45:39.447Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-06-18T20:45:49.071Z] 20:45:48.625 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-06-18T20:45:52.456Z] Got 100004 ratings from 671 users on 9066 movies. [2025-06-18T20:45:53.046Z] Training: 60056, validation: 20285, test: 19854 [2025-06-18T20:45:53.046Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-06-18T20:45:53.046Z] GC before operation: completed in 130.868 ms, heap usage 179.809 MB -> 75.918 MB. [2025-06-18T20:46:02.903Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T20:46:06.220Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T20:46:11.514Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T20:46:14.874Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T20:46:17.424Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T20:46:19.385Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T20:46:21.963Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T20:46:23.885Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T20:46:24.272Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-18T20:46:24.272Z] The best model improves the baseline by 14.52%. [2025-06-18T20:46:24.665Z] Top recommended movies for user id 72: [2025-06-18T20:46:24.665Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T20:46:24.665Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T20:46:24.665Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T20:46:24.665Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T20:46:24.665Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T20:46:24.665Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (31958.254 ms) ====== [2025-06-18T20:46:24.665Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-06-18T20:46:25.087Z] GC before operation: completed in 178.051 ms, heap usage 505.035 MB -> 95.550 MB. [2025-06-18T20:46:28.527Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T20:46:32.828Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T20:46:36.322Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T20:46:39.666Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T20:46:41.603Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T20:46:43.524Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T20:46:46.178Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T20:46:47.525Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T20:46:47.918Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-18T20:46:47.918Z] The best model improves the baseline by 14.52%. [2025-06-18T20:46:48.302Z] Top recommended movies for user id 72: [2025-06-18T20:46:48.302Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T20:46:48.302Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T20:46:48.302Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T20:46:48.302Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T20:46:48.302Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T20:46:48.302Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (23322.685 ms) ====== [2025-06-18T20:46:48.302Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-06-18T20:46:48.302Z] GC before operation: completed in 144.792 ms, heap usage 457.083 MB -> 90.767 MB. [2025-06-18T20:46:51.653Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T20:46:56.004Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T20:46:58.631Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T20:47:01.991Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T20:47:03.331Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T20:47:05.250Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T20:47:07.187Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T20:47:09.088Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T20:47:09.481Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-18T20:47:09.481Z] The best model improves the baseline by 14.52%. [2025-06-18T20:47:09.884Z] Top recommended movies for user id 72: [2025-06-18T20:47:09.884Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T20:47:09.884Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T20:47:09.884Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T20:47:09.884Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T20:47:09.884Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T20:47:09.884Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (21342.590 ms) ====== [2025-06-18T20:47:09.884Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-06-18T20:47:09.884Z] GC before operation: completed in 141.642 ms, heap usage 121.349 MB -> 89.256 MB. [2025-06-18T20:47:13.194Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T20:47:15.758Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T20:47:19.107Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T20:47:22.571Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T20:47:24.492Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T20:47:26.403Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T20:47:28.366Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T20:47:30.278Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T20:47:30.671Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-18T20:47:30.671Z] The best model improves the baseline by 14.52%. [2025-06-18T20:47:31.056Z] Top recommended movies for user id 72: [2025-06-18T20:47:31.056Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T20:47:31.056Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T20:47:31.056Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T20:47:31.056Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T20:47:31.056Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T20:47:31.056Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (21144.383 ms) ====== [2025-06-18T20:47:31.056Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-06-18T20:47:31.056Z] GC before operation: completed in 137.972 ms, heap usage 409.164 MB -> 89.931 MB. [2025-06-18T20:47:34.461Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T20:47:37.790Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T20:47:41.179Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T20:47:44.596Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T20:47:46.522Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T20:47:48.592Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T20:47:51.238Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T20:47:53.198Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T20:47:53.199Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-18T20:47:53.199Z] The best model improves the baseline by 14.52%. [2025-06-18T20:47:53.586Z] Top recommended movies for user id 72: [2025-06-18T20:47:53.586Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T20:47:53.586Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T20:47:53.586Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T20:47:53.586Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T20:47:53.586Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T20:47:53.586Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (22272.089 ms) ====== [2025-06-18T20:47:53.586Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-06-18T20:47:53.586Z] GC before operation: completed in 144.031 ms, heap usage 96.837 MB -> 93.323 MB. [2025-06-18T20:47:56.913Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T20:48:00.333Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T20:48:03.700Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T20:48:06.258Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T20:48:08.150Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T20:48:10.083Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T20:48:11.982Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T20:48:13.920Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T20:48:13.920Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-18T20:48:13.920Z] The best model improves the baseline by 14.52%. [2025-06-18T20:48:14.303Z] Top recommended movies for user id 72: [2025-06-18T20:48:14.303Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T20:48:14.303Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T20:48:14.303Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T20:48:14.303Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T20:48:14.303Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T20:48:14.303Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (20562.370 ms) ====== [2025-06-18T20:48:14.303Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-06-18T20:48:14.303Z] GC before operation: completed in 131.837 ms, heap usage 180.054 MB -> 89.986 MB. [2025-06-18T20:48:17.640Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T20:48:20.313Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T20:48:23.734Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T20:48:26.322Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T20:48:28.241Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T20:48:30.194Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T20:48:32.162Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T20:48:34.083Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T20:48:34.084Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-18T20:48:34.084Z] The best model improves the baseline by 14.52%. [2025-06-18T20:48:34.477Z] Top recommended movies for user id 72: [2025-06-18T20:48:34.477Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T20:48:34.477Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T20:48:34.477Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T20:48:34.477Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T20:48:34.477Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T20:48:34.477Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19999.553 ms) ====== [2025-06-18T20:48:34.477Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-06-18T20:48:34.477Z] GC before operation: completed in 128.043 ms, heap usage 101.815 MB -> 90.145 MB. [2025-06-18T20:48:37.836Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T20:48:40.433Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T20:48:43.900Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T20:48:46.517Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T20:48:48.407Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T20:48:50.333Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T20:48:52.224Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T20:48:54.124Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T20:48:54.124Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-18T20:48:54.513Z] The best model improves the baseline by 14.52%. [2025-06-18T20:48:54.513Z] Top recommended movies for user id 72: [2025-06-18T20:48:54.513Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T20:48:54.513Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T20:48:54.513Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T20:48:54.513Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T20:48:54.513Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T20:48:54.513Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (20120.555 ms) ====== [2025-06-18T20:48:54.513Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-06-18T20:48:54.513Z] GC before operation: completed in 130.596 ms, heap usage 419.503 MB -> 90.424 MB. [2025-06-18T20:48:57.839Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T20:49:01.205Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T20:49:03.854Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T20:49:06.574Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T20:49:08.484Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T20:49:10.390Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T20:49:12.323Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T20:49:13.657Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T20:49:14.055Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-18T20:49:14.439Z] The best model improves the baseline by 14.52%. [2025-06-18T20:49:14.439Z] Top recommended movies for user id 72: [2025-06-18T20:49:14.439Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T20:49:14.439Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T20:49:14.439Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T20:49:14.439Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T20:49:14.439Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T20:49:14.439Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19830.062 ms) ====== [2025-06-18T20:49:14.439Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-06-18T20:49:14.439Z] GC before operation: completed in 126.572 ms, heap usage 140.618 MB -> 91.278 MB. [2025-06-18T20:49:17.762Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T20:49:21.132Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T20:49:23.734Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T20:49:27.071Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T20:49:28.500Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T20:49:30.415Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T20:49:32.417Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T20:49:34.450Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T20:49:34.833Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-18T20:49:34.833Z] The best model improves the baseline by 14.52%. [2025-06-18T20:49:34.833Z] Top recommended movies for user id 72: [2025-06-18T20:49:34.833Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T20:49:34.833Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T20:49:34.833Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T20:49:34.833Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T20:49:34.833Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T20:49:34.833Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (20256.923 ms) ====== [2025-06-18T20:49:34.833Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-06-18T20:49:34.833Z] GC before operation: completed in 128.168 ms, heap usage 98.840 MB -> 93.184 MB. [2025-06-18T20:49:38.196Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T20:49:41.528Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T20:49:44.111Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T20:49:47.443Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T20:49:49.346Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T20:49:51.295Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T20:49:52.634Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T20:49:54.561Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T20:49:54.952Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-18T20:49:54.952Z] The best model improves the baseline by 14.52%. [2025-06-18T20:49:55.351Z] Top recommended movies for user id 72: [2025-06-18T20:49:55.351Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T20:49:55.351Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T20:49:55.351Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T20:49:55.351Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T20:49:55.351Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T20:49:55.351Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (20210.203 ms) ====== [2025-06-18T20:49:55.351Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-06-18T20:49:55.351Z] GC before operation: completed in 128.170 ms, heap usage 342.182 MB -> 90.032 MB. [2025-06-18T20:49:58.815Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T20:50:01.432Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T20:50:04.770Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T20:50:07.362Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T20:50:09.317Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T20:50:11.344Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T20:50:12.712Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T20:50:14.713Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T20:50:15.106Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-18T20:50:15.106Z] The best model improves the baseline by 14.52%. [2025-06-18T20:50:15.106Z] Top recommended movies for user id 72: [2025-06-18T20:50:15.106Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T20:50:15.106Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T20:50:15.106Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T20:50:15.106Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T20:50:15.106Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T20:50:15.106Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19802.463 ms) ====== [2025-06-18T20:50:15.106Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-06-18T20:50:15.106Z] GC before operation: completed in 128.458 ms, heap usage 179.945 MB -> 90.075 MB. [2025-06-18T20:50:18.485Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T20:50:21.131Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T20:50:23.743Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T20:50:26.332Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T20:50:28.271Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T20:50:30.183Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T20:50:32.101Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T20:50:34.023Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T20:50:34.023Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-18T20:50:34.407Z] The best model improves the baseline by 14.52%. [2025-06-18T20:50:34.407Z] Top recommended movies for user id 72: [2025-06-18T20:50:34.407Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T20:50:34.407Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T20:50:34.407Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T20:50:34.407Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T20:50:34.407Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T20:50:34.407Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19173.610 ms) ====== [2025-06-18T20:50:34.407Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-06-18T20:50:34.407Z] GC before operation: completed in 126.505 ms, heap usage 219.571 MB -> 90.303 MB. [2025-06-18T20:50:37.746Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T20:50:41.161Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T20:50:43.756Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T20:50:47.257Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T20:50:49.197Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T20:50:50.548Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T20:50:52.467Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T20:50:54.378Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T20:50:54.378Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-18T20:50:54.378Z] The best model improves the baseline by 14.52%. [2025-06-18T20:50:54.771Z] Top recommended movies for user id 72: [2025-06-18T20:50:54.771Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T20:50:54.771Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T20:50:54.771Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T20:50:54.771Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T20:50:54.771Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T20:50:54.771Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (20134.447 ms) ====== [2025-06-18T20:50:54.771Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-06-18T20:50:54.771Z] GC before operation: completed in 127.716 ms, heap usage 214.306 MB -> 90.013 MB. [2025-06-18T20:50:58.135Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T20:51:00.737Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T20:51:03.365Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T20:51:05.964Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T20:51:08.089Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T20:51:09.497Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T20:51:11.442Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T20:51:12.830Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T20:51:13.213Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-18T20:51:13.213Z] The best model improves the baseline by 14.52%. [2025-06-18T20:51:13.213Z] Top recommended movies for user id 72: [2025-06-18T20:51:13.213Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T20:51:13.213Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T20:51:13.213Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T20:51:13.213Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T20:51:13.213Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T20:51:13.213Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18430.841 ms) ====== [2025-06-18T20:51:13.213Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-06-18T20:51:13.213Z] GC before operation: completed in 129.854 ms, heap usage 451.694 MB -> 90.588 MB. [2025-06-18T20:51:16.595Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T20:51:19.220Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T20:51:22.640Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T20:51:25.283Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T20:51:26.723Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T20:51:28.655Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T20:51:31.229Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T20:51:32.574Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T20:51:32.967Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-18T20:51:33.356Z] The best model improves the baseline by 14.52%. [2025-06-18T20:51:33.356Z] Top recommended movies for user id 72: [2025-06-18T20:51:33.356Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T20:51:33.356Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T20:51:33.356Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T20:51:33.356Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T20:51:33.356Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T20:51:33.356Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (19964.255 ms) ====== [2025-06-18T20:51:33.356Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-06-18T20:51:33.356Z] GC before operation: completed in 126.272 ms, heap usage 153.051 MB -> 91.190 MB. [2025-06-18T20:51:36.884Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T20:51:39.547Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T20:51:42.996Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T20:51:45.612Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T20:51:46.992Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T20:51:48.924Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T20:51:50.876Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T20:51:52.826Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T20:51:53.218Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-18T20:51:53.218Z] The best model improves the baseline by 14.52%. [2025-06-18T20:51:53.631Z] Top recommended movies for user id 72: [2025-06-18T20:51:53.631Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T20:51:53.631Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T20:51:53.631Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T20:51:53.631Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T20:51:53.631Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T20:51:53.631Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19943.289 ms) ====== [2025-06-18T20:51:53.631Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-06-18T20:51:53.631Z] GC before operation: completed in 125.364 ms, heap usage 449.998 MB -> 90.526 MB. [2025-06-18T20:51:56.978Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T20:51:59.808Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T20:52:02.423Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T20:52:05.737Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T20:52:07.709Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T20:52:09.044Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T20:52:10.948Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T20:52:12.883Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T20:52:12.883Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-18T20:52:12.883Z] The best model improves the baseline by 14.52%. [2025-06-18T20:52:13.297Z] Top recommended movies for user id 72: [2025-06-18T20:52:13.297Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T20:52:13.297Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T20:52:13.297Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T20:52:13.297Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T20:52:13.297Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T20:52:13.297Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19632.195 ms) ====== [2025-06-18T20:52:13.297Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-06-18T20:52:13.297Z] GC before operation: completed in 126.070 ms, heap usage 265.427 MB -> 90.196 MB. [2025-06-18T20:52:16.009Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T20:52:19.393Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T20:52:21.942Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T20:52:24.515Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T20:52:25.945Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T20:52:27.998Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T20:52:29.913Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T20:52:31.290Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T20:52:31.686Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-18T20:52:31.686Z] The best model improves the baseline by 14.52%. [2025-06-18T20:52:32.100Z] Top recommended movies for user id 72: [2025-06-18T20:52:32.100Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T20:52:32.100Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T20:52:32.100Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T20:52:32.100Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T20:52:32.100Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T20:52:32.100Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18574.891 ms) ====== [2025-06-18T20:52:32.100Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-06-18T20:52:32.100Z] GC before operation: completed in 130.200 ms, heap usage 490.492 MB -> 90.528 MB. [2025-06-18T20:52:34.678Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T20:52:38.037Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T20:52:40.609Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T20:52:43.223Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T20:52:45.172Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T20:52:46.530Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T20:52:48.445Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T20:52:49.860Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T20:52:50.292Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-18T20:52:50.292Z] The best model improves the baseline by 14.52%. [2025-06-18T20:52:50.737Z] Top recommended movies for user id 72: [2025-06-18T20:52:50.737Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T20:52:50.737Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T20:52:50.737Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T20:52:50.737Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T20:52:50.737Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T20:52:50.737Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18493.474 ms) ====== [2025-06-18T20:52:51.119Z] ----------------------------------- [2025-06-18T20:52:51.119Z] renaissance-movie-lens_0_PASSED [2025-06-18T20:52:51.119Z] ----------------------------------- [2025-06-18T20:52:51.119Z] [2025-06-18T20:52:51.119Z] TEST TEARDOWN: [2025-06-18T20:52:51.119Z] Nothing to be done for teardown. [2025-06-18T20:52:51.119Z] renaissance-movie-lens_0 Finish Time: Wed Jun 18 20:52:51 2025 Epoch Time (ms): 1750279971008