[2025-09-07T07:00:15.352Z] Running test renaissance-movie-lens_0 ... [2025-09-07T07:00:15.352Z] =============================================== [2025-09-07T07:00:15.352Z] renaissance-movie-lens_0 Start Time: Sun Sep 7 07:00:14 2025 Epoch Time (ms): 1757228414663 [2025-09-07T07:00:15.352Z] variation: NoOptions [2025-09-07T07:00:15.352Z] JVM_OPTIONS: [2025-09-07T07:00:15.352Z] { \ [2025-09-07T07:00:15.352Z] echo ""; echo "TEST SETUP:"; \ [2025-09-07T07:00:15.352Z] echo "Nothing to be done for setup."; \ [2025-09-07T07:00:15.352Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17572265733309/renaissance-movie-lens_0"; \ [2025-09-07T07:00:15.352Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17572265733309/renaissance-movie-lens_0"; \ [2025-09-07T07:00:15.352Z] echo ""; echo "TESTING:"; \ [2025-09-07T07:00:15.353Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/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_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17572265733309/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-09-07T07:00:15.353Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17572265733309/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-09-07T07:00:15.353Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-09-07T07:00:15.353Z] echo "Nothing to be done for teardown."; \ [2025-09-07T07:00:15.353Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17572265733309/TestTargetResult"; [2025-09-07T07:00:15.353Z] [2025-09-07T07:00:15.353Z] TEST SETUP: [2025-09-07T07:00:15.353Z] Nothing to be done for setup. [2025-09-07T07:00:15.353Z] [2025-09-07T07:00:15.353Z] TESTING: [2025-09-07T07:00:17.838Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-09-07T07:00:17.838Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/output_17572265733309/renaissance-movie-lens_0/launcher-070015-7443867172683760975/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-09-07T07:00:17.838Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-09-07T07:00:17.838Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-09-07T07:01:06.399Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 16) threads. [2025-09-07T07:01:18.179Z] Got 100004 ratings from 671 users on 9066 movies. [2025-09-07T07:01:18.179Z] Training: 60056, validation: 20285, test: 19854 [2025-09-07T07:01:18.179Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-09-07T07:01:18.179Z] GC before operation: completed in 180.679 ms, heap usage 658.828 MB -> 75.547 MB. [2025-09-07T07:01:25.103Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-07T07:01:29.601Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-07T07:01:34.097Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-07T07:01:38.596Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-07T07:01:40.195Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-07T07:01:42.694Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-07T07:01:45.190Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-07T07:01:46.823Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-07T07:01:47.603Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-09-07T07:01:47.603Z] The best model improves the baseline by 14.43%. [2025-09-07T07:01:47.603Z] Top recommended movies for user id 72: [2025-09-07T07:01:47.603Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-07T07:01:47.603Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-07T07:01:47.603Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-07T07:01:47.603Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-07T07:01:47.603Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-07T07:01:47.603Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (30239.672 ms) ====== [2025-09-07T07:01:47.603Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-09-07T07:01:48.379Z] GC before operation: completed in 156.974 ms, heap usage 301.764 MB -> 89.404 MB. [2025-09-07T07:01:51.827Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-07T07:01:55.293Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-07T07:01:59.784Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-07T07:02:03.234Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-07T07:02:04.840Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-07T07:02:06.440Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-07T07:02:08.941Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-07T07:02:11.430Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-07T07:02:11.430Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-09-07T07:02:11.430Z] The best model improves the baseline by 14.43%. [2025-09-07T07:02:11.430Z] Top recommended movies for user id 72: [2025-09-07T07:02:11.430Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-07T07:02:11.430Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-07T07:02:11.430Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-07T07:02:11.430Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-07T07:02:11.430Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-07T07:02:11.430Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (23786.730 ms) ====== [2025-09-07T07:02:11.430Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-09-07T07:02:12.204Z] GC before operation: completed in 156.175 ms, heap usage 1.490 GB -> 94.870 MB. [2025-09-07T07:02:15.668Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-07T07:02:18.151Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-07T07:02:22.645Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-07T07:02:25.132Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-07T07:02:26.737Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-07T07:02:29.222Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-07T07:02:32.673Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-07T07:02:34.293Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-07T07:02:35.070Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-09-07T07:02:35.070Z] The best model improves the baseline by 14.43%. [2025-09-07T07:02:35.070Z] Top recommended movies for user id 72: [2025-09-07T07:02:35.070Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-07T07:02:35.070Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-07T07:02:35.070Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-07T07:02:35.070Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-07T07:02:35.070Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-07T07:02:35.070Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (23238.905 ms) ====== [2025-09-07T07:02:35.070Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-09-07T07:02:35.070Z] GC before operation: completed in 124.698 ms, heap usage 321.475 MB -> 90.541 MB. [2025-09-07T07:02:38.517Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-07T07:02:41.967Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-07T07:02:46.487Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-07T07:02:49.929Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-07T07:02:51.541Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-07T07:02:53.146Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-07T07:02:55.642Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-07T07:02:58.131Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-07T07:02:58.131Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-09-07T07:02:58.131Z] The best model improves the baseline by 14.43%. [2025-09-07T07:02:58.906Z] Top recommended movies for user id 72: [2025-09-07T07:02:58.906Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-07T07:02:58.906Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-07T07:02:58.906Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-07T07:02:58.906Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-07T07:02:58.906Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-07T07:02:58.906Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (23193.184 ms) ====== [2025-09-07T07:02:58.907Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-09-07T07:02:58.907Z] GC before operation: completed in 135.109 ms, heap usage 115.923 MB -> 90.747 MB. [2025-09-07T07:03:02.350Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-07T07:03:04.841Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-07T07:03:10.499Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-07T07:03:12.989Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-07T07:03:15.479Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-07T07:03:17.087Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-07T07:03:19.577Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-07T07:03:22.068Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-07T07:03:22.068Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-09-07T07:03:22.068Z] The best model improves the baseline by 14.43%. [2025-09-07T07:03:22.843Z] Top recommended movies for user id 72: [2025-09-07T07:03:22.843Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-07T07:03:22.843Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-07T07:03:22.843Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-07T07:03:22.843Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-07T07:03:22.843Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-07T07:03:22.843Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (23794.532 ms) ====== [2025-09-07T07:03:22.843Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-09-07T07:03:22.843Z] GC before operation: completed in 124.697 ms, heap usage 189.249 MB -> 90.640 MB. [2025-09-07T07:03:26.315Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-07T07:03:28.802Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-07T07:03:34.449Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-07T07:03:37.902Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-07T07:03:39.522Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-07T07:03:42.031Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-07T07:03:44.520Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-07T07:03:46.122Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-07T07:03:46.122Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-09-07T07:03:46.122Z] The best model improves the baseline by 14.43%. [2025-09-07T07:03:46.899Z] Top recommended movies for user id 72: [2025-09-07T07:03:46.899Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-07T07:03:46.899Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-07T07:03:46.899Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-07T07:03:46.899Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-07T07:03:46.899Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-07T07:03:46.899Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (24037.150 ms) ====== [2025-09-07T07:03:46.899Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-09-07T07:03:46.899Z] GC before operation: completed in 136.252 ms, heap usage 2.974 GB -> 97.452 MB. [2025-09-07T07:03:49.387Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-07T07:03:52.836Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-07T07:03:57.339Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-07T07:04:00.786Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-07T07:04:04.252Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-07T07:04:06.751Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-07T07:04:09.264Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-07T07:04:11.757Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-07T07:04:11.758Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-09-07T07:04:11.758Z] The best model improves the baseline by 14.43%. [2025-09-07T07:04:11.758Z] Top recommended movies for user id 72: [2025-09-07T07:04:11.758Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-07T07:04:11.758Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-07T07:04:11.758Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-07T07:04:11.758Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-07T07:04:11.758Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-07T07:04:11.758Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (25103.274 ms) ====== [2025-09-07T07:04:11.758Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-09-07T07:04:11.758Z] GC before operation: completed in 149.062 ms, heap usage 450.481 MB -> 91.280 MB. [2025-09-07T07:04:15.219Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-07T07:04:18.675Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-07T07:04:23.193Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-07T07:04:25.685Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-07T07:04:30.173Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-07T07:04:31.778Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-07T07:04:34.267Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-07T07:04:36.965Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-07T07:04:36.965Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-09-07T07:04:36.965Z] The best model improves the baseline by 14.43%. [2025-09-07T07:04:37.741Z] Top recommended movies for user id 72: [2025-09-07T07:04:37.741Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-07T07:04:37.741Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-07T07:04:37.741Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-07T07:04:37.741Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-07T07:04:37.741Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-07T07:04:37.741Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (25391.396 ms) ====== [2025-09-07T07:04:37.741Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-09-07T07:04:37.741Z] GC before operation: completed in 122.586 ms, heap usage 355.354 MB -> 91.306 MB. [2025-09-07T07:04:41.185Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-07T07:04:45.693Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-07T07:04:49.895Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-07T07:04:54.035Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-07T07:04:55.638Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-07T07:04:57.239Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-07T07:04:59.721Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-07T07:05:02.218Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-07T07:05:02.218Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-09-07T07:05:02.218Z] The best model improves the baseline by 14.43%. [2025-09-07T07:05:02.218Z] Top recommended movies for user id 72: [2025-09-07T07:05:02.218Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-07T07:05:02.218Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-07T07:05:02.218Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-07T07:05:02.218Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-07T07:05:02.218Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-07T07:05:02.218Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (24913.975 ms) ====== [2025-09-07T07:05:02.218Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-09-07T07:05:02.218Z] GC before operation: completed in 123.365 ms, heap usage 302.930 MB -> 91.131 MB. [2025-09-07T07:05:05.665Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-07T07:05:09.117Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-07T07:05:16.038Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-07T07:05:19.488Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-07T07:05:21.103Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-07T07:05:23.622Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-07T07:05:26.124Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-07T07:05:27.731Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-07T07:05:27.731Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-09-07T07:05:28.505Z] The best model improves the baseline by 14.43%. [2025-09-07T07:05:28.505Z] Top recommended movies for user id 72: [2025-09-07T07:05:28.505Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-07T07:05:28.505Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-07T07:05:28.505Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-07T07:05:28.505Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-07T07:05:28.505Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-07T07:05:28.505Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (25727.537 ms) ====== [2025-09-07T07:05:28.505Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-09-07T07:05:28.505Z] GC before operation: completed in 127.654 ms, heap usage 302.578 MB -> 91.326 MB. [2025-09-07T07:05:31.958Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-07T07:05:34.468Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-07T07:05:38.959Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-07T07:05:42.411Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-07T07:05:44.010Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-07T07:05:45.618Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-07T07:05:49.062Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-07T07:05:50.683Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-07T07:05:51.458Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-09-07T07:05:51.458Z] The best model improves the baseline by 14.43%. [2025-09-07T07:05:51.458Z] Top recommended movies for user id 72: [2025-09-07T07:05:51.458Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-07T07:05:51.458Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-07T07:05:51.458Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-07T07:05:51.458Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-07T07:05:51.458Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-07T07:05:51.458Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (23048.609 ms) ====== [2025-09-07T07:05:51.458Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-09-07T07:05:51.458Z] GC before operation: completed in 140.537 ms, heap usage 2.921 GB -> 98.596 MB. [2025-09-07T07:05:54.919Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-07T07:05:57.420Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-07T07:06:03.083Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-07T07:06:05.579Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-07T07:06:07.176Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-07T07:06:08.796Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-07T07:06:12.238Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-07T07:06:13.852Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-07T07:06:13.852Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-09-07T07:06:13.852Z] The best model improves the baseline by 14.43%. [2025-09-07T07:06:13.852Z] Top recommended movies for user id 72: [2025-09-07T07:06:13.852Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-07T07:06:13.852Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-07T07:06:13.852Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-07T07:06:13.852Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-07T07:06:13.852Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-07T07:06:13.852Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (22569.578 ms) ====== [2025-09-07T07:06:13.852Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-09-07T07:06:14.627Z] GC before operation: completed in 139.953 ms, heap usage 196.208 MB -> 91.082 MB. [2025-09-07T07:06:17.113Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-07T07:06:21.623Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-07T07:06:26.133Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-07T07:06:29.587Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-07T07:06:31.186Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-07T07:06:32.790Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-07T07:06:35.273Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-07T07:06:36.895Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-07T07:06:37.674Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-09-07T07:06:37.674Z] The best model improves the baseline by 14.43%. [2025-09-07T07:06:37.674Z] Top recommended movies for user id 72: [2025-09-07T07:06:37.674Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-07T07:06:37.674Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-07T07:06:37.674Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-07T07:06:37.674Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-07T07:06:37.674Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-07T07:06:37.674Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (23470.597 ms) ====== [2025-09-07T07:06:37.674Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-09-07T07:06:37.674Z] GC before operation: completed in 135.679 ms, heap usage 389.562 MB -> 91.431 MB. [2025-09-07T07:06:41.128Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-07T07:06:43.625Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-07T07:06:48.134Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-07T07:06:51.622Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-07T07:06:53.228Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-07T07:06:54.830Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-07T07:06:57.340Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-07T07:06:58.943Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-07T07:06:59.718Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-09-07T07:06:59.718Z] The best model improves the baseline by 14.43%. [2025-09-07T07:06:59.718Z] Top recommended movies for user id 72: [2025-09-07T07:06:59.718Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-07T07:06:59.718Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-07T07:06:59.718Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-07T07:06:59.718Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-07T07:06:59.718Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-07T07:06:59.718Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (21689.774 ms) ====== [2025-09-07T07:06:59.718Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-09-07T07:06:59.718Z] GC before operation: completed in 156.985 ms, heap usage 1.412 GB -> 96.326 MB. [2025-09-07T07:07:03.190Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-07T07:07:05.683Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-07T07:07:11.328Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-07T07:07:13.819Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-07T07:07:16.309Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-07T07:07:17.924Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-07T07:07:20.425Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-07T07:07:22.027Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-07T07:07:22.802Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-09-07T07:07:22.802Z] The best model improves the baseline by 14.43%. [2025-09-07T07:07:22.802Z] Top recommended movies for user id 72: [2025-09-07T07:07:22.802Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-07T07:07:22.802Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-07T07:07:22.802Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-07T07:07:22.802Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-07T07:07:22.802Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-07T07:07:22.802Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (22976.463 ms) ====== [2025-09-07T07:07:22.802Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-09-07T07:07:22.802Z] GC before operation: completed in 144.271 ms, heap usage 2.737 GB -> 97.952 MB. [2025-09-07T07:07:26.279Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-07T07:07:31.931Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-07T07:07:36.437Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-07T07:07:39.912Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-07T07:07:41.522Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-07T07:07:43.124Z] RMSE (validation) = 1.117495376637101 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-07T07:07:45.616Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-07T07:07:47.239Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-07T07:07:48.013Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-09-07T07:07:48.013Z] The best model improves the baseline by 14.43%. [2025-09-07T07:07:48.013Z] Top recommended movies for user id 72: [2025-09-07T07:07:48.013Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-07T07:07:48.013Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-07T07:07:48.013Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-07T07:07:48.013Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-07T07:07:48.013Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-07T07:07:48.013Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (25124.916 ms) ====== [2025-09-07T07:07:48.013Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-09-07T07:07:48.013Z] GC before operation: completed in 211.448 ms, heap usage 2.704 GB -> 97.509 MB. [2025-09-07T07:07:51.455Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-07T07:07:54.907Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-07T07:07:59.422Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-07T07:08:02.875Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-07T07:08:05.377Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-07T07:08:06.983Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-07T07:08:09.477Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-07T07:08:11.968Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-07T07:08:11.968Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-09-07T07:08:11.968Z] The best model improves the baseline by 14.43%. [2025-09-07T07:08:12.745Z] Top recommended movies for user id 72: [2025-09-07T07:08:12.745Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-07T07:08:12.745Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-07T07:08:12.745Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-07T07:08:12.745Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-07T07:08:12.745Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-07T07:08:12.745Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (24211.503 ms) ====== [2025-09-07T07:08:12.745Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-09-07T07:08:12.745Z] GC before operation: completed in 172.136 ms, heap usage 2.863 GB -> 97.725 MB. [2025-09-07T07:08:16.210Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-07T07:08:19.668Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-07T07:08:24.172Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-07T07:08:27.620Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-07T07:08:29.234Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-07T07:08:30.905Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-07T07:08:35.392Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-07T07:08:37.891Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-07T07:08:37.891Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-09-07T07:08:37.891Z] The best model improves the baseline by 14.43%. [2025-09-07T07:08:37.891Z] Top recommended movies for user id 72: [2025-09-07T07:08:37.891Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-07T07:08:37.891Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-07T07:08:37.891Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-07T07:08:37.891Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-07T07:08:37.891Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-07T07:08:37.891Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (25447.265 ms) ====== [2025-09-07T07:08:37.891Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-09-07T07:08:37.891Z] GC before operation: completed in 146.473 ms, heap usage 128.336 MB -> 95.039 MB. [2025-09-07T07:08:41.345Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-07T07:08:44.801Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-07T07:08:49.295Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-07T07:08:52.743Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-07T07:08:54.350Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-07T07:08:56.835Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-07T07:08:59.337Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-07T07:09:00.978Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-07T07:09:01.757Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-09-07T07:09:01.757Z] The best model improves the baseline by 14.43%. [2025-09-07T07:09:01.757Z] Top recommended movies for user id 72: [2025-09-07T07:09:01.757Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-07T07:09:01.757Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-07T07:09:01.757Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-07T07:09:01.757Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-07T07:09:01.757Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-07T07:09:01.757Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (23535.772 ms) ====== [2025-09-07T07:09:01.757Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-09-07T07:09:01.757Z] GC before operation: completed in 149.082 ms, heap usage 2.451 GB -> 97.570 MB. [2025-09-07T07:09:05.201Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-07T07:09:08.665Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-07T07:09:14.314Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-07T07:09:17.782Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-07T07:09:19.385Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-07T07:09:21.886Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-07T07:09:24.395Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-07T07:09:26.898Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-07T07:09:26.898Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-09-07T07:09:26.898Z] The best model improves the baseline by 14.43%. [2025-09-07T07:09:26.898Z] Top recommended movies for user id 72: [2025-09-07T07:09:26.898Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-07T07:09:26.898Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-07T07:09:26.898Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-07T07:09:26.898Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-07T07:09:26.898Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-07T07:09:26.898Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (25330.023 ms) ====== [2025-09-07T07:09:28.501Z] ----------------------------------- [2025-09-07T07:09:28.501Z] renaissance-movie-lens_0_PASSED [2025-09-07T07:09:28.501Z] ----------------------------------- [2025-09-07T07:09:28.501Z] [2025-09-07T07:09:28.501Z] TEST TEARDOWN: [2025-09-07T07:09:28.501Z] Nothing to be done for teardown. [2025-09-07T07:09:28.501Z] renaissance-movie-lens_0 Finish Time: Sun Sep 7 07:09:27 2025 Epoch Time (ms): 1757228967922