[2025-10-31T12:49:23.221Z] Running test renaissance-movie-lens_0 ... [2025-10-31T12:49:23.221Z] =============================================== [2025-10-31T12:49:23.221Z] renaissance-movie-lens_0 Start Time: Fri Oct 31 12:49:22 2025 Epoch Time (ms): 1761914962934 [2025-10-31T12:49:23.221Z] variation: NoOptions [2025-10-31T12:49:23.221Z] JVM_OPTIONS: [2025-10-31T12:49:23.221Z] { \ [2025-10-31T12:49:23.221Z] echo ""; echo "TEST SETUP:"; \ [2025-10-31T12:49:23.221Z] echo "Nothing to be done for setup."; \ [2025-10-31T12:49:23.221Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17619132149343/renaissance-movie-lens_0"; \ [2025-10-31T12:49:23.221Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17619132149343/renaissance-movie-lens_0"; \ [2025-10-31T12:49:23.221Z] echo ""; echo "TESTING:"; \ [2025-10-31T12:49:23.221Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_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_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17619132149343/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-10-31T12:49:23.221Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17619132149343/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-10-31T12:49:23.221Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-10-31T12:49:23.221Z] echo "Nothing to be done for teardown."; \ [2025-10-31T12:49:23.221Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17619132149343/TestTargetResult"; [2025-10-31T12:49:23.221Z] [2025-10-31T12:49:23.221Z] TEST SETUP: [2025-10-31T12:49:23.221Z] Nothing to be done for setup. [2025-10-31T12:49:23.221Z] [2025-10-31T12:49:23.221Z] TESTING: [2025-10-31T12:49:23.551Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-10-31T12:49:23.551Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/output_17619132149343/renaissance-movie-lens_0/launcher-124923-13760500891454572922/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-10-31T12:49:23.551Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-10-31T12:49:23.551Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-10-31T12:49:28.310Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-10-31T12:49:35.599Z] 12:49:34.655 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2025-10-31T12:49:37.860Z] Got 100004 ratings from 671 users on 9066 movies. [2025-10-31T12:49:39.013Z] Training: 60056, validation: 20285, test: 19854 [2025-10-31T12:49:39.013Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-10-31T12:49:39.013Z] GC before operation: completed in 138.951 ms, heap usage 168.609 MB -> 75.360 MB. [2025-10-31T12:49:46.301Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T12:49:50.097Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T12:49:53.985Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T12:49:57.771Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T12:49:59.441Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T12:50:01.101Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T12:50:04.912Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T12:50:06.069Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T12:50:06.069Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-31T12:50:06.399Z] The best model improves the baseline by 14.34%. [2025-10-31T12:50:06.399Z] Top recommended movies for user id 72: [2025-10-31T12:50:06.399Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-31T12:50:06.399Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-31T12:50:06.399Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-31T12:50:06.399Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-31T12:50:06.399Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-31T12:50:06.399Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (27511.164 ms) ====== [2025-10-31T12:50:06.399Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-10-31T12:50:06.734Z] GC before operation: completed in 166.229 ms, heap usage 401.056 MB -> 88.188 MB. [2025-10-31T12:50:09.691Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T12:50:11.952Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T12:50:14.281Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T12:50:16.546Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T12:50:17.714Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T12:50:18.865Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T12:50:20.523Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T12:50:21.669Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T12:50:21.997Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-31T12:50:21.997Z] The best model improves the baseline by 14.34%. [2025-10-31T12:50:21.997Z] Top recommended movies for user id 72: [2025-10-31T12:50:21.997Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-31T12:50:21.997Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-31T12:50:21.997Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-31T12:50:21.997Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-31T12:50:21.997Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-31T12:50:21.997Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (15417.670 ms) ====== [2025-10-31T12:50:21.997Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-10-31T12:50:22.328Z] GC before operation: completed in 145.887 ms, heap usage 181.339 MB -> 87.481 MB. [2025-10-31T12:50:24.587Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T12:50:26.849Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T12:50:29.109Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T12:50:31.371Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T12:50:32.521Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T12:50:33.669Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T12:50:35.335Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T12:50:37.068Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T12:50:37.068Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-31T12:50:37.068Z] The best model improves the baseline by 14.34%. [2025-10-31T12:50:37.068Z] Top recommended movies for user id 72: [2025-10-31T12:50:37.068Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-31T12:50:37.068Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-31T12:50:37.068Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-31T12:50:37.068Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-31T12:50:37.068Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-31T12:50:37.068Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (14990.881 ms) ====== [2025-10-31T12:50:37.068Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-10-31T12:50:37.397Z] GC before operation: completed in 147.541 ms, heap usage 495.962 MB -> 91.754 MB. [2025-10-31T12:50:39.659Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T12:50:41.917Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T12:50:44.181Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T12:50:46.441Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T12:50:47.594Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T12:50:48.741Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T12:50:49.892Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T12:50:51.556Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T12:50:51.556Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-31T12:50:51.556Z] The best model improves the baseline by 14.34%. [2025-10-31T12:50:51.556Z] Top recommended movies for user id 72: [2025-10-31T12:50:51.556Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-31T12:50:51.556Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-31T12:50:51.556Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-31T12:50:51.556Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-31T12:50:51.556Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-31T12:50:51.556Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (14288.768 ms) ====== [2025-10-31T12:50:51.556Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-10-31T12:50:51.884Z] GC before operation: completed in 142.830 ms, heap usage 146.554 MB -> 88.376 MB. [2025-10-31T12:50:54.141Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T12:50:56.404Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T12:50:58.129Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T12:51:00.387Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T12:51:01.542Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T12:51:02.689Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T12:51:04.351Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T12:51:05.100Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T12:51:05.429Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-31T12:51:05.429Z] The best model improves the baseline by 14.34%. [2025-10-31T12:51:05.757Z] Top recommended movies for user id 72: [2025-10-31T12:51:05.757Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-31T12:51:05.757Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-31T12:51:05.757Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-31T12:51:05.757Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-31T12:51:05.757Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-31T12:51:05.757Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (13857.048 ms) ====== [2025-10-31T12:51:05.757Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-10-31T12:51:05.757Z] GC before operation: completed in 147.397 ms, heap usage 731.427 MB -> 93.097 MB. [2025-10-31T12:51:08.016Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T12:51:09.675Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T12:51:11.939Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T12:51:14.202Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T12:51:15.362Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T12:51:17.112Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T12:51:18.268Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T12:51:19.420Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T12:51:19.750Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-31T12:51:19.750Z] The best model improves the baseline by 14.34%. [2025-10-31T12:51:19.750Z] Top recommended movies for user id 72: [2025-10-31T12:51:19.750Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-31T12:51:19.750Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-31T12:51:19.750Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-31T12:51:19.750Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-31T12:51:19.750Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-31T12:51:19.750Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (14040.540 ms) ====== [2025-10-31T12:51:19.750Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-10-31T12:51:20.081Z] GC before operation: completed in 146.724 ms, heap usage 404.141 MB -> 89.057 MB. [2025-10-31T12:51:22.347Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T12:51:24.017Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T12:51:26.278Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T12:51:28.537Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T12:51:29.251Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T12:51:30.438Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T12:51:32.094Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T12:51:33.244Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T12:51:33.244Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-31T12:51:33.244Z] The best model improves the baseline by 14.34%. [2025-10-31T12:51:33.244Z] Top recommended movies for user id 72: [2025-10-31T12:51:33.244Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-31T12:51:33.244Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-31T12:51:33.244Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-31T12:51:33.244Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-31T12:51:33.244Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-31T12:51:33.244Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (13449.889 ms) ====== [2025-10-31T12:51:33.244Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-10-31T12:51:33.574Z] GC before operation: completed in 128.886 ms, heap usage 489.463 MB -> 92.420 MB. [2025-10-31T12:51:35.837Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T12:51:37.498Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T12:51:39.841Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T12:51:41.501Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T12:51:43.164Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T12:51:44.315Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T12:51:45.472Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T12:51:46.624Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T12:51:46.624Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-31T12:51:46.624Z] The best model improves the baseline by 14.34%. [2025-10-31T12:51:46.954Z] Top recommended movies for user id 72: [2025-10-31T12:51:46.954Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-31T12:51:46.954Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-31T12:51:46.954Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-31T12:51:46.954Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-31T12:51:46.954Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-31T12:51:46.954Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (13348.417 ms) ====== [2025-10-31T12:51:46.954Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-10-31T12:51:46.954Z] GC before operation: completed in 141.367 ms, heap usage 407.450 MB -> 89.270 MB. [2025-10-31T12:51:49.213Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T12:51:51.472Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T12:51:53.137Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T12:51:55.405Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T12:51:56.554Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T12:51:57.705Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T12:51:59.374Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T12:52:00.166Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T12:52:00.496Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-31T12:52:00.496Z] The best model improves the baseline by 14.34%. [2025-10-31T12:52:00.496Z] Top recommended movies for user id 72: [2025-10-31T12:52:00.496Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-31T12:52:00.496Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-31T12:52:00.496Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-31T12:52:00.496Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-31T12:52:00.496Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-31T12:52:00.496Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (13622.273 ms) ====== [2025-10-31T12:52:00.496Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-10-31T12:52:00.825Z] GC before operation: completed in 139.221 ms, heap usage 217.181 MB -> 88.809 MB. [2025-10-31T12:52:03.081Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T12:52:05.342Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T12:52:07.598Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T12:52:09.263Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T12:52:10.416Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T12:52:11.200Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T12:52:12.859Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T12:52:14.010Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T12:52:14.010Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-31T12:52:14.011Z] The best model improves the baseline by 14.34%. [2025-10-31T12:52:14.347Z] Top recommended movies for user id 72: [2025-10-31T12:52:14.347Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-31T12:52:14.347Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-31T12:52:14.347Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-31T12:52:14.347Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-31T12:52:14.347Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-31T12:52:14.347Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (13471.604 ms) ====== [2025-10-31T12:52:14.347Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-10-31T12:52:14.347Z] GC before operation: completed in 120.241 ms, heap usage 171.219 MB -> 89.031 MB. [2025-10-31T12:52:16.614Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T12:52:18.276Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T12:52:20.583Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T12:52:22.246Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T12:52:23.400Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T12:52:24.550Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T12:52:25.700Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T12:52:26.855Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T12:52:27.184Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-31T12:52:27.184Z] The best model improves the baseline by 14.34%. [2025-10-31T12:52:27.184Z] Top recommended movies for user id 72: [2025-10-31T12:52:27.184Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-31T12:52:27.184Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-31T12:52:27.184Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-31T12:52:27.184Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-31T12:52:27.184Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-31T12:52:27.184Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (12849.029 ms) ====== [2025-10-31T12:52:27.184Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-10-31T12:52:27.184Z] GC before operation: completed in 122.620 ms, heap usage 433.072 MB -> 89.187 MB. [2025-10-31T12:52:29.441Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T12:52:31.103Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T12:52:33.368Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T12:52:35.031Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T12:52:36.178Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T12:52:37.342Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T12:52:38.493Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T12:52:40.160Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T12:52:40.160Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-31T12:52:40.160Z] The best model improves the baseline by 14.34%. [2025-10-31T12:52:40.160Z] Top recommended movies for user id 72: [2025-10-31T12:52:40.160Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-31T12:52:40.160Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-31T12:52:40.160Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-31T12:52:40.160Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-31T12:52:40.160Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-31T12:52:40.160Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (12825.285 ms) ====== [2025-10-31T12:52:40.160Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-10-31T12:52:40.160Z] GC before operation: completed in 116.553 ms, heap usage 153.715 MB -> 88.957 MB. [2025-10-31T12:52:42.428Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T12:52:44.682Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T12:52:46.336Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T12:52:48.592Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T12:52:49.301Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T12:52:50.449Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T12:52:51.603Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T12:52:52.750Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T12:52:53.080Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-31T12:52:53.080Z] The best model improves the baseline by 14.34%. [2025-10-31T12:52:53.080Z] Top recommended movies for user id 72: [2025-10-31T12:52:53.080Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-31T12:52:53.080Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-31T12:52:53.080Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-31T12:52:53.080Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-31T12:52:53.080Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-31T12:52:53.080Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (12850.771 ms) ====== [2025-10-31T12:52:53.080Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-10-31T12:52:53.410Z] GC before operation: completed in 135.141 ms, heap usage 589.201 MB -> 93.014 MB. [2025-10-31T12:52:55.072Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T12:52:57.333Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T12:52:59.596Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T12:53:01.261Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T12:53:02.502Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T12:53:03.648Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T12:53:04.800Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T12:53:05.948Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T12:53:05.948Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-31T12:53:06.280Z] The best model improves the baseline by 14.34%. [2025-10-31T12:53:06.280Z] Top recommended movies for user id 72: [2025-10-31T12:53:06.280Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-31T12:53:06.280Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-31T12:53:06.280Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-31T12:53:06.280Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-31T12:53:06.280Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-31T12:53:06.280Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (12969.089 ms) ====== [2025-10-31T12:53:06.280Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-10-31T12:53:06.280Z] GC before operation: completed in 121.234 ms, heap usage 223.981 MB -> 88.985 MB. [2025-10-31T12:53:08.539Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T12:53:10.204Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T12:53:12.462Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T12:53:14.124Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T12:53:15.787Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T12:53:16.495Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T12:53:17.645Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T12:53:18.793Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T12:53:19.122Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-31T12:53:19.122Z] The best model improves the baseline by 14.34%. [2025-10-31T12:53:19.122Z] Top recommended movies for user id 72: [2025-10-31T12:53:19.122Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-31T12:53:19.122Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-31T12:53:19.122Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-31T12:53:19.122Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-31T12:53:19.122Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-31T12:53:19.122Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (12857.447 ms) ====== [2025-10-31T12:53:19.122Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-10-31T12:53:19.453Z] GC before operation: completed in 130.790 ms, heap usage 610.044 MB -> 93.126 MB. [2025-10-31T12:53:21.119Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T12:53:23.475Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T12:53:25.733Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T12:53:27.398Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T12:53:28.549Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T12:53:29.697Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T12:53:30.847Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T12:53:32.002Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T12:53:32.002Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-31T12:53:32.002Z] The best model improves the baseline by 14.34%. [2025-10-31T12:53:32.341Z] Top recommended movies for user id 72: [2025-10-31T12:53:32.341Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-31T12:53:32.341Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-31T12:53:32.341Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-31T12:53:32.341Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-31T12:53:32.341Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-31T12:53:32.341Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (12913.522 ms) ====== [2025-10-31T12:53:32.341Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-10-31T12:53:32.341Z] GC before operation: completed in 120.651 ms, heap usage 233.300 MB -> 89.068 MB. [2025-10-31T12:53:34.600Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T12:53:36.858Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T12:53:38.539Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T12:53:40.208Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T12:53:41.359Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T12:53:42.507Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T12:53:43.729Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T12:53:44.873Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T12:53:45.207Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-31T12:53:45.207Z] The best model improves the baseline by 14.34%. [2025-10-31T12:53:45.207Z] Top recommended movies for user id 72: [2025-10-31T12:53:45.207Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-31T12:53:45.207Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-31T12:53:45.207Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-31T12:53:45.207Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-31T12:53:45.207Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-31T12:53:45.207Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (12936.349 ms) ====== [2025-10-31T12:53:45.207Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-10-31T12:53:45.541Z] GC before operation: completed in 124.083 ms, heap usage 419.177 MB -> 89.459 MB. [2025-10-31T12:53:47.207Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T12:53:49.470Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T12:53:51.725Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T12:53:53.386Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T12:53:54.542Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T12:53:56.202Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T12:53:57.347Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T12:53:58.496Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T12:53:58.827Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-31T12:53:58.827Z] The best model improves the baseline by 14.34%. [2025-10-31T12:53:59.157Z] Top recommended movies for user id 72: [2025-10-31T12:53:59.157Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-31T12:53:59.157Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-31T12:53:59.157Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-31T12:53:59.157Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-31T12:53:59.157Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-31T12:53:59.157Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (13701.632 ms) ====== [2025-10-31T12:53:59.157Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-10-31T12:53:59.157Z] GC before operation: completed in 114.913 ms, heap usage 170.115 MB -> 88.874 MB. [2025-10-31T12:54:01.408Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T12:54:03.660Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T12:54:05.997Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T12:54:07.661Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T12:54:08.813Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T12:54:09.959Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T12:54:11.689Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T12:54:12.836Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T12:54:12.837Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-31T12:54:12.837Z] The best model improves the baseline by 14.34%. [2025-10-31T12:54:12.837Z] Top recommended movies for user id 72: [2025-10-31T12:54:12.837Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-31T12:54:12.837Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-31T12:54:12.837Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-31T12:54:12.837Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-31T12:54:12.837Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-31T12:54:12.837Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (13728.136 ms) ====== [2025-10-31T12:54:12.837Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-10-31T12:54:13.167Z] GC before operation: completed in 118.446 ms, heap usage 292.580 MB -> 89.222 MB. [2025-10-31T12:54:15.422Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-31T12:54:17.676Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-31T12:54:19.387Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-31T12:54:21.649Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-31T12:54:22.471Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-31T12:54:24.132Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-31T12:54:25.319Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-31T12:54:26.467Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-31T12:54:26.798Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-31T12:54:26.798Z] The best model improves the baseline by 14.34%. [2025-10-31T12:54:26.798Z] Top recommended movies for user id 72: [2025-10-31T12:54:26.798Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-31T12:54:26.798Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-31T12:54:26.798Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-31T12:54:26.798Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-31T12:54:26.798Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-31T12:54:26.798Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (13804.277 ms) ====== [2025-10-31T12:54:27.506Z] ----------------------------------- [2025-10-31T12:54:27.506Z] renaissance-movie-lens_0_PASSED [2025-10-31T12:54:27.506Z] ----------------------------------- [2025-10-31T12:54:27.506Z] [2025-10-31T12:54:27.506Z] TEST TEARDOWN: [2025-10-31T12:54:27.506Z] Nothing to be done for teardown. [2025-10-31T12:54:27.506Z] renaissance-movie-lens_0 Finish Time: Fri Oct 31 12:54:27 2025 Epoch Time (ms): 1761915267264