[2025-12-15T13:40:41.451Z] Running test renaissance-movie-lens_0 ... [2025-12-15T13:40:41.451Z] =============================================== [2025-12-15T13:40:41.451Z] renaissance-movie-lens_0 Start Time: Mon Dec 15 13:40:41 2025 Epoch Time (ms): 1765806041315 [2025-12-15T13:40:41.451Z] variation: NoOptions [2025-12-15T13:40:41.451Z] JVM_OPTIONS: [2025-12-15T13:40:41.451Z] { \ [2025-12-15T13:40:41.451Z] echo ""; echo "TEST SETUP:"; \ [2025-12-15T13:40:41.451Z] echo "Nothing to be done for setup."; \ [2025-12-15T13:40:41.451Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17658044159558/renaissance-movie-lens_0"; \ [2025-12-15T13:40:41.451Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17658044159558/renaissance-movie-lens_0"; \ [2025-12-15T13:40:41.451Z] echo ""; echo "TESTING:"; \ [2025-12-15T13:40:41.451Z] "/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_17658044159558/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-12-15T13:40:41.451Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17658044159558/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-12-15T13:40:41.451Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-12-15T13:40:41.451Z] echo "Nothing to be done for teardown."; \ [2025-12-15T13:40:41.451Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17658044159558/TestTargetResult"; [2025-12-15T13:40:41.451Z] [2025-12-15T13:40:41.451Z] TEST SETUP: [2025-12-15T13:40:41.451Z] Nothing to be done for setup. [2025-12-15T13:40:41.451Z] [2025-12-15T13:40:41.451Z] TESTING: [2025-12-15T13:40:42.096Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-12-15T13:40:42.096Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/output_17658044159558/renaissance-movie-lens_0/launcher-134041-1502293475105212581/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-12-15T13:40:42.096Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-12-15T13:40:42.096Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-12-15T13:40:46.586Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-12-15T13:40:53.539Z] 13:40:53.040 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2025-12-15T13:40:56.356Z] Got 100004 ratings from 671 users on 9066 movies. [2025-12-15T13:40:57.434Z] Training: 60056, validation: 20285, test: 19854 [2025-12-15T13:40:57.434Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-12-15T13:40:57.434Z] GC before operation: completed in 132.151 ms, heap usage 248.567 MB -> 75.323 MB. [2025-12-15T13:41:04.436Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-15T13:41:10.098Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-15T13:41:14.619Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-15T13:41:17.398Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-15T13:41:19.514Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-15T13:41:21.653Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-15T13:41:23.189Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-15T13:41:24.729Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-15T13:41:24.729Z] 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. [2025-12-15T13:41:24.729Z] The best model improves the baseline by 14.34%. [2025-12-15T13:41:25.031Z] Top recommended movies for user id 72: [2025-12-15T13:41:25.031Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-15T13:41:25.031Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-15T13:41:25.031Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-15T13:41:25.031Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-15T13:41:25.031Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-15T13:41:25.031Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (27569.916 ms) ====== [2025-12-15T13:41:25.031Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-12-15T13:41:25.031Z] GC before operation: completed in 135.526 ms, heap usage 430.342 MB -> 92.620 MB. [2025-12-15T13:41:27.813Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-15T13:41:30.598Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-15T13:41:33.378Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-15T13:41:35.485Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-15T13:41:37.020Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-15T13:41:38.557Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-15T13:41:40.140Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-15T13:41:41.684Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-15T13:41:41.684Z] 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. [2025-12-15T13:41:41.684Z] The best model improves the baseline by 14.34%. [2025-12-15T13:41:41.984Z] Top recommended movies for user id 72: [2025-12-15T13:41:41.984Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-15T13:41:41.984Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-15T13:41:41.984Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-15T13:41:41.984Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-15T13:41:41.984Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-15T13:41:41.984Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (16946.578 ms) ====== [2025-12-15T13:41:41.984Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-12-15T13:41:42.281Z] GC before operation: completed in 138.315 ms, heap usage 207.810 MB -> 87.479 MB. [2025-12-15T13:41:45.053Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-15T13:41:47.156Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-15T13:41:49.934Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-15T13:41:52.717Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-15T13:41:53.773Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-15T13:41:55.315Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-15T13:41:57.454Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-15T13:41:58.995Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-15T13:41:59.298Z] 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. [2025-12-15T13:41:59.298Z] The best model improves the baseline by 14.34%. [2025-12-15T13:41:59.601Z] Top recommended movies for user id 72: [2025-12-15T13:41:59.601Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-15T13:41:59.601Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-15T13:41:59.601Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-15T13:41:59.601Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-15T13:41:59.601Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-15T13:41:59.601Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (17330.928 ms) ====== [2025-12-15T13:41:59.601Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-12-15T13:41:59.601Z] GC before operation: completed in 132.326 ms, heap usage 176.122 MB -> 88.120 MB. [2025-12-15T13:42:02.374Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-15T13:42:04.486Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-15T13:42:07.261Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-15T13:42:09.368Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-15T13:42:10.427Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-15T13:42:11.956Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-15T13:42:13.014Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-15T13:42:14.548Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-15T13:42:14.548Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-15T13:42:14.548Z] The best model improves the baseline by 14.34%. [2025-12-15T13:42:14.548Z] Top recommended movies for user id 72: [2025-12-15T13:42:14.548Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-15T13:42:14.548Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-15T13:42:14.548Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-15T13:42:14.548Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-15T13:42:14.548Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-15T13:42:14.548Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (14976.358 ms) ====== [2025-12-15T13:42:14.548Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-12-15T13:42:14.853Z] GC before operation: completed in 141.938 ms, heap usage 178.973 MB -> 88.382 MB. [2025-12-15T13:42:17.647Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-15T13:42:20.422Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-15T13:42:23.195Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-15T13:42:24.728Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-15T13:42:26.265Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-15T13:42:27.323Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-15T13:42:28.867Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-15T13:42:29.920Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-15T13:42:30.221Z] 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. [2025-12-15T13:42:30.221Z] The best model improves the baseline by 14.34%. [2025-12-15T13:42:30.524Z] Top recommended movies for user id 72: [2025-12-15T13:42:30.524Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-15T13:42:30.524Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-15T13:42:30.524Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-15T13:42:30.524Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-15T13:42:30.524Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-15T13:42:30.524Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (15681.930 ms) ====== [2025-12-15T13:42:30.524Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-12-15T13:42:30.524Z] GC before operation: completed in 140.898 ms, heap usage 178.929 MB -> 88.383 MB. [2025-12-15T13:42:33.303Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-15T13:42:34.879Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-15T13:42:36.977Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-15T13:42:39.098Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-15T13:42:40.157Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-15T13:42:41.692Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-15T13:42:42.748Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-15T13:42:44.285Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-15T13:42:44.285Z] 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. [2025-12-15T13:42:44.285Z] The best model improves the baseline by 14.34%. [2025-12-15T13:42:44.585Z] Top recommended movies for user id 72: [2025-12-15T13:42:44.585Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-15T13:42:44.585Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-15T13:42:44.585Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-15T13:42:44.585Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-15T13:42:44.585Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-15T13:42:44.585Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (13883.974 ms) ====== [2025-12-15T13:42:44.585Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-12-15T13:42:44.585Z] GC before operation: completed in 135.955 ms, heap usage 382.127 MB -> 89.111 MB. [2025-12-15T13:42:46.686Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-15T13:42:48.788Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-15T13:42:51.571Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-15T13:42:53.676Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-15T13:42:54.740Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-15T13:42:56.273Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-15T13:42:57.330Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-15T13:42:58.866Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-15T13:42:58.866Z] 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. [2025-12-15T13:42:58.866Z] The best model improves the baseline by 14.34%. [2025-12-15T13:42:59.165Z] Top recommended movies for user id 72: [2025-12-15T13:42:59.165Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-15T13:42:59.165Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-15T13:42:59.165Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-15T13:42:59.165Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-15T13:42:59.165Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-15T13:42:59.165Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (14380.969 ms) ====== [2025-12-15T13:42:59.165Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-12-15T13:42:59.165Z] GC before operation: completed in 143.671 ms, heap usage 419.743 MB -> 89.164 MB. [2025-12-15T13:43:01.270Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-15T13:43:03.369Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-15T13:43:05.477Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-15T13:43:07.577Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-15T13:43:08.677Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-15T13:43:10.210Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-15T13:43:11.746Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-15T13:43:12.803Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-15T13:43:12.803Z] 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. [2025-12-15T13:43:12.803Z] The best model improves the baseline by 14.34%. [2025-12-15T13:43:13.104Z] Top recommended movies for user id 72: [2025-12-15T13:43:13.104Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-15T13:43:13.104Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-15T13:43:13.104Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-15T13:43:13.104Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-15T13:43:13.104Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-15T13:43:13.104Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (13789.747 ms) ====== [2025-12-15T13:43:13.104Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-12-15T13:43:13.104Z] GC before operation: completed in 139.472 ms, heap usage 399.829 MB -> 89.309 MB. [2025-12-15T13:43:15.209Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-15T13:43:17.314Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-15T13:43:19.414Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-15T13:43:21.519Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-15T13:43:23.056Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-15T13:43:24.124Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-15T13:43:25.657Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-15T13:43:26.756Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-15T13:43:26.756Z] 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. [2025-12-15T13:43:26.756Z] The best model improves the baseline by 14.34%. [2025-12-15T13:43:27.054Z] Top recommended movies for user id 72: [2025-12-15T13:43:27.054Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-15T13:43:27.054Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-15T13:43:27.054Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-15T13:43:27.054Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-15T13:43:27.054Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-15T13:43:27.054Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (13937.004 ms) ====== [2025-12-15T13:43:27.054Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-12-15T13:43:27.054Z] GC before operation: completed in 131.077 ms, heap usage 139.780 MB -> 88.795 MB. [2025-12-15T13:43:29.154Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-15T13:43:31.250Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-15T13:43:33.348Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-15T13:43:35.452Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-15T13:43:36.098Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-15T13:43:37.651Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-15T13:43:38.706Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-15T13:43:40.242Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-15T13:43:40.242Z] 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. [2025-12-15T13:43:40.242Z] The best model improves the baseline by 14.34%. [2025-12-15T13:43:40.544Z] Top recommended movies for user id 72: [2025-12-15T13:43:40.544Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-15T13:43:40.544Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-15T13:43:40.544Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-15T13:43:40.544Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-15T13:43:40.544Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-15T13:43:40.544Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (13242.724 ms) ====== [2025-12-15T13:43:40.544Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-12-15T13:43:40.544Z] GC before operation: completed in 130.972 ms, heap usage 116.073 MB -> 89.935 MB. [2025-12-15T13:43:42.646Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-15T13:43:44.779Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-15T13:43:46.877Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-15T13:43:48.974Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-15T13:43:50.030Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-15T13:43:51.086Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-15T13:43:52.140Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-15T13:43:53.692Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-15T13:43:53.692Z] 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. [2025-12-15T13:43:53.692Z] The best model improves the baseline by 14.34%. [2025-12-15T13:43:53.692Z] Top recommended movies for user id 72: [2025-12-15T13:43:53.692Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-15T13:43:53.692Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-15T13:43:53.692Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-15T13:43:53.692Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-15T13:43:53.692Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-15T13:43:53.692Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (13153.304 ms) ====== [2025-12-15T13:43:53.692Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-12-15T13:43:53.995Z] GC before operation: completed in 142.451 ms, heap usage 647.192 MB -> 92.960 MB. [2025-12-15T13:43:56.100Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-15T13:43:58.196Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-15T13:44:00.339Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-15T13:44:01.874Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-15T13:44:03.407Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-15T13:44:04.465Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-15T13:44:05.522Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-15T13:44:07.057Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-15T13:44:07.057Z] 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. [2025-12-15T13:44:07.058Z] The best model improves the baseline by 14.34%. [2025-12-15T13:44:07.058Z] Top recommended movies for user id 72: [2025-12-15T13:44:07.058Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-15T13:44:07.058Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-15T13:44:07.058Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-15T13:44:07.058Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-15T13:44:07.058Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-15T13:44:07.058Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (13274.773 ms) ====== [2025-12-15T13:44:07.058Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-12-15T13:44:07.355Z] GC before operation: completed in 145.495 ms, heap usage 439.749 MB -> 92.611 MB. [2025-12-15T13:44:09.464Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-15T13:44:11.566Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-15T13:44:13.098Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-15T13:44:15.200Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-15T13:44:16.256Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-15T13:44:17.312Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-15T13:44:18.848Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-15T13:44:19.912Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-15T13:44:20.210Z] 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. [2025-12-15T13:44:20.210Z] The best model improves the baseline by 14.34%. [2025-12-15T13:44:20.512Z] Top recommended movies for user id 72: [2025-12-15T13:44:20.512Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-15T13:44:20.512Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-15T13:44:20.512Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-15T13:44:20.512Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-15T13:44:20.512Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-15T13:44:20.512Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (13098.928 ms) ====== [2025-12-15T13:44:20.512Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-12-15T13:44:20.512Z] GC before operation: completed in 140.119 ms, heap usage 578.861 MB -> 92.984 MB. [2025-12-15T13:44:22.616Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-15T13:44:24.721Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-15T13:44:26.824Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-15T13:44:28.923Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-15T13:44:29.980Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-15T13:44:31.034Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-15T13:44:32.567Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-15T13:44:33.618Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-15T13:44:33.919Z] 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. [2025-12-15T13:44:33.919Z] The best model improves the baseline by 14.34%. [2025-12-15T13:44:33.919Z] Top recommended movies for user id 72: [2025-12-15T13:44:33.919Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-15T13:44:33.919Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-15T13:44:33.919Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-15T13:44:33.919Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-15T13:44:33.919Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-15T13:44:33.919Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (13536.320 ms) ====== [2025-12-15T13:44:33.919Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-12-15T13:44:34.255Z] GC before operation: completed in 140.967 ms, heap usage 209.531 MB -> 88.961 MB. [2025-12-15T13:44:36.350Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-15T13:44:38.449Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-15T13:44:39.984Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-15T13:44:42.086Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-15T13:44:43.151Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-15T13:44:44.686Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-15T13:44:45.735Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-15T13:44:46.792Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-15T13:44:46.792Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-15T13:44:47.091Z] The best model improves the baseline by 14.34%. [2025-12-15T13:44:47.091Z] Top recommended movies for user id 72: [2025-12-15T13:44:47.091Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-15T13:44:47.091Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-15T13:44:47.091Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-15T13:44:47.091Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-15T13:44:47.091Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-15T13:44:47.091Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (12869.877 ms) ====== [2025-12-15T13:44:47.091Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-12-15T13:44:47.091Z] GC before operation: completed in 142.033 ms, heap usage 645.014 MB -> 93.296 MB. [2025-12-15T13:44:49.193Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-15T13:44:51.302Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-15T13:44:53.408Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-15T13:44:54.942Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-15T13:44:56.000Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-15T13:44:57.535Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-15T13:44:58.594Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-15T13:45:00.129Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-15T13:45:00.129Z] 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. [2025-12-15T13:45:00.129Z] The best model improves the baseline by 14.34%. [2025-12-15T13:45:00.129Z] Top recommended movies for user id 72: [2025-12-15T13:45:00.129Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-15T13:45:00.129Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-15T13:45:00.129Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-15T13:45:00.129Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-15T13:45:00.129Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-15T13:45:00.129Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (13000.397 ms) ====== [2025-12-15T13:45:00.129Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-12-15T13:45:00.430Z] GC before operation: completed in 139.621 ms, heap usage 410.960 MB -> 89.364 MB. [2025-12-15T13:45:02.527Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-15T13:45:04.060Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-15T13:45:06.165Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-15T13:45:08.269Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-15T13:45:09.362Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-15T13:45:10.419Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-15T13:45:11.954Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-15T13:45:13.016Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-15T13:45:13.016Z] 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. [2025-12-15T13:45:13.016Z] The best model improves the baseline by 14.34%. [2025-12-15T13:45:13.016Z] Top recommended movies for user id 72: [2025-12-15T13:45:13.016Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-15T13:45:13.016Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-15T13:45:13.016Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-15T13:45:13.016Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-15T13:45:13.016Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-15T13:45:13.016Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (12801.241 ms) ====== [2025-12-15T13:45:13.016Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-12-15T13:45:13.318Z] GC before operation: completed in 145.678 ms, heap usage 680.407 MB -> 93.371 MB. [2025-12-15T13:45:15.434Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-15T13:45:17.535Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-15T13:45:19.647Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-15T13:45:21.186Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-15T13:45:22.241Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-15T13:45:23.784Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-15T13:45:24.842Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-15T13:45:25.900Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-15T13:45:26.198Z] 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. [2025-12-15T13:45:26.198Z] The best model improves the baseline by 14.34%. [2025-12-15T13:45:26.198Z] Top recommended movies for user id 72: [2025-12-15T13:45:26.198Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-15T13:45:26.198Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-15T13:45:26.198Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-15T13:45:26.198Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-15T13:45:26.198Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-15T13:45:26.198Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (12977.742 ms) ====== [2025-12-15T13:45:26.198Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-12-15T13:45:26.496Z] GC before operation: completed in 142.759 ms, heap usage 434.726 MB -> 89.402 MB. [2025-12-15T13:45:28.604Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-15T13:45:30.138Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-15T13:45:32.248Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-15T13:45:34.350Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-15T13:45:35.405Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-15T13:45:36.461Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-15T13:45:38.001Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-15T13:45:39.059Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-15T13:45:39.059Z] 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. [2025-12-15T13:45:39.059Z] The best model improves the baseline by 14.34%. [2025-12-15T13:45:39.059Z] Top recommended movies for user id 72: [2025-12-15T13:45:39.059Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-15T13:45:39.059Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-15T13:45:39.059Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-15T13:45:39.059Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-15T13:45:39.059Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-15T13:45:39.059Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (12761.947 ms) ====== [2025-12-15T13:45:39.059Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-12-15T13:45:39.357Z] GC before operation: completed in 134.401 ms, heap usage 179.318 MB -> 89.066 MB. [2025-12-15T13:45:41.461Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-15T13:45:43.045Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-15T13:45:45.153Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-15T13:45:47.266Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-15T13:45:48.321Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-15T13:45:49.377Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-15T13:45:50.457Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-15T13:45:51.511Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-15T13:45:51.811Z] 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. [2025-12-15T13:45:51.811Z] The best model improves the baseline by 14.34%. [2025-12-15T13:45:51.811Z] Top recommended movies for user id 72: [2025-12-15T13:45:51.811Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-15T13:45:51.811Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-15T13:45:51.811Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-15T13:45:51.811Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-15T13:45:51.811Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-15T13:45:51.811Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (12630.306 ms) ====== [2025-12-15T13:45:52.467Z] ----------------------------------- [2025-12-15T13:45:52.468Z] renaissance-movie-lens_0_PASSED [2025-12-15T13:45:52.468Z] ----------------------------------- [2025-12-15T13:45:52.468Z] [2025-12-15T13:45:52.468Z] TEST TEARDOWN: [2025-12-15T13:45:52.468Z] Nothing to be done for teardown. [2025-12-15T13:45:52.468Z] renaissance-movie-lens_0 Finish Time: Mon Dec 15 13:45:52 2025 Epoch Time (ms): 1765806352290