[2025-06-12T22:43:27.273Z] Running test renaissance-movie-lens_0 ... [2025-06-12T22:43:27.273Z] =============================================== [2025-06-12T22:43:27.273Z] renaissance-movie-lens_0 Start Time: Thu Jun 12 22:43:26 2025 Epoch Time (ms): 1749768206735 [2025-06-12T22:43:27.273Z] variation: NoOptions [2025-06-12T22:43:27.273Z] JVM_OPTIONS: [2025-06-12T22:43:27.273Z] { \ [2025-06-12T22:43:27.273Z] echo ""; echo "TEST SETUP:"; \ [2025-06-12T22:43:27.273Z] echo "Nothing to be done for setup."; \ [2025-06-12T22:43:27.273Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_1749765935789/renaissance-movie-lens_0"; \ [2025-06-12T22:43:27.273Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_1749765935789/renaissance-movie-lens_0"; \ [2025-06-12T22:43:27.273Z] echo ""; echo "TESTING:"; \ [2025-06-12T22:43:27.273Z] "/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_1749765935789/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-06-12T22:43:27.273Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_1749765935789/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-06-12T22:43:27.273Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-06-12T22:43:27.273Z] echo "Nothing to be done for teardown."; \ [2025-06-12T22:43:27.273Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_1749765935789/TestTargetResult"; [2025-06-12T22:43:27.273Z] [2025-06-12T22:43:27.273Z] TEST SETUP: [2025-06-12T22:43:27.273Z] Nothing to be done for setup. [2025-06-12T22:43:27.273Z] [2025-06-12T22:43:27.273Z] TESTING: [2025-06-12T22:43:27.273Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-06-12T22:43:27.273Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/output_1749765935789/renaissance-movie-lens_0/launcher-224326-17808691342674400994/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-06-12T22:43:27.273Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-06-12T22:43:27.273Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-06-12T22:43:33.106Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-06-12T22:43:41.907Z] 22:43:40.354 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. [2025-06-12T22:43:44.136Z] Got 100004 ratings from 671 users on 9066 movies. [2025-06-12T22:43:44.835Z] Training: 60056, validation: 20285, test: 19854 [2025-06-12T22:43:44.835Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-06-12T22:43:44.835Z] GC before operation: completed in 175.763 ms, heap usage 254.639 MB -> 75.525 MB. [2025-06-12T22:43:55.658Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T22:44:01.569Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T22:44:06.830Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T22:44:11.528Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T22:44:13.743Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T22:44:16.652Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T22:44:18.873Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T22:44:21.091Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T22:44:21.415Z] 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. [2025-06-12T22:44:21.415Z] The best model improves the baseline by 14.34%. [2025-06-12T22:44:21.735Z] Top recommended movies for user id 72: [2025-06-12T22:44:21.735Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T22:44:21.735Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T22:44:21.735Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T22:44:21.735Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T22:44:21.735Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T22:44:21.735Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (36807.109 ms) ====== [2025-06-12T22:44:21.735Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-06-12T22:44:22.056Z] GC before operation: completed in 194.182 ms, heap usage 329.058 MB -> 87.028 MB. [2025-06-12T22:44:25.787Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T22:44:29.600Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T22:44:32.510Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T22:44:35.422Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T22:44:37.639Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T22:44:39.265Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T22:44:40.890Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T22:44:43.108Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T22:44:43.108Z] 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. [2025-06-12T22:44:43.433Z] The best model improves the baseline by 14.34%. [2025-06-12T22:44:43.433Z] Top recommended movies for user id 72: [2025-06-12T22:44:43.433Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T22:44:43.433Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T22:44:43.433Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T22:44:43.433Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T22:44:43.433Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T22:44:43.433Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (21488.423 ms) ====== [2025-06-12T22:44:43.433Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-06-12T22:44:43.752Z] GC before operation: completed in 193.797 ms, heap usage 347.734 MB -> 89.439 MB. [2025-06-12T22:44:46.665Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T22:44:49.574Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T22:44:53.480Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T22:44:55.702Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T22:44:57.916Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T22:44:59.541Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T22:45:01.752Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T22:45:03.378Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T22:45:03.699Z] 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. [2025-06-12T22:45:03.699Z] The best model improves the baseline by 14.34%. [2025-06-12T22:45:04.019Z] Top recommended movies for user id 72: [2025-06-12T22:45:04.019Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T22:45:04.019Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T22:45:04.019Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T22:45:04.019Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T22:45:04.019Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T22:45:04.019Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (20372.188 ms) ====== [2025-06-12T22:45:04.019Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-06-12T22:45:04.341Z] GC before operation: completed in 192.920 ms, heap usage 146.801 MB -> 88.051 MB. [2025-06-12T22:45:07.256Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T22:45:10.163Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T22:45:13.068Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T22:45:16.022Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T22:45:17.646Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T22:45:18.969Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T22:45:21.185Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T22:45:22.815Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T22:45:22.815Z] 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. [2025-06-12T22:45:23.136Z] The best model improves the baseline by 14.34%. [2025-06-12T22:45:23.136Z] Top recommended movies for user id 72: [2025-06-12T22:45:23.136Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T22:45:23.136Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T22:45:23.136Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T22:45:23.136Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T22:45:23.136Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T22:45:23.136Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (18907.178 ms) ====== [2025-06-12T22:45:23.136Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-06-12T22:45:23.459Z] GC before operation: completed in 205.334 ms, heap usage 581.673 MB -> 92.247 MB. [2025-06-12T22:45:26.363Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T22:45:29.272Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T22:45:32.182Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T22:45:35.088Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T22:45:36.774Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T22:45:38.405Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T22:45:40.137Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T22:45:41.791Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T22:45:42.115Z] 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. [2025-06-12T22:45:42.115Z] The best model improves the baseline by 14.34%. [2025-06-12T22:45:42.115Z] Top recommended movies for user id 72: [2025-06-12T22:45:42.115Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T22:45:42.115Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T22:45:42.115Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T22:45:42.115Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T22:45:42.115Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T22:45:42.115Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (18825.725 ms) ====== [2025-06-12T22:45:42.115Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-06-12T22:45:42.436Z] GC before operation: completed in 190.212 ms, heap usage 193.577 MB -> 88.373 MB. [2025-06-12T22:45:45.344Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T22:45:48.250Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T22:45:51.157Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T22:45:53.374Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T22:45:55.588Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T22:45:57.213Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T22:45:58.920Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T22:46:00.545Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T22:46:00.867Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-12T22:46:00.867Z] The best model improves the baseline by 14.34%. [2025-06-12T22:46:00.867Z] Top recommended movies for user id 72: [2025-06-12T22:46:00.867Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T22:46:00.867Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T22:46:00.867Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T22:46:00.867Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T22:46:00.867Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T22:46:00.867Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (18596.837 ms) ====== [2025-06-12T22:46:00.867Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-06-12T22:46:01.188Z] GC before operation: completed in 194.470 ms, heap usage 348.957 MB -> 89.029 MB. [2025-06-12T22:46:04.099Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T22:46:07.012Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T22:46:09.919Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T22:46:12.821Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T22:46:14.467Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T22:46:16.091Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T22:46:17.711Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T22:46:19.340Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T22:46:19.659Z] 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. [2025-06-12T22:46:19.659Z] The best model improves the baseline by 14.34%. [2025-06-12T22:46:19.979Z] Top recommended movies for user id 72: [2025-06-12T22:46:19.979Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T22:46:19.979Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T22:46:19.979Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T22:46:19.979Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T22:46:19.979Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T22:46:19.979Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (18689.501 ms) ====== [2025-06-12T22:46:19.979Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-06-12T22:46:19.979Z] GC before operation: completed in 192.781 ms, heap usage 386.933 MB -> 89.087 MB. [2025-06-12T22:46:22.953Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T22:46:25.855Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T22:46:28.068Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T22:46:30.972Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T22:46:32.597Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T22:46:34.223Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T22:46:35.850Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T22:46:37.481Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T22:46:37.801Z] 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. [2025-06-12T22:46:37.801Z] The best model improves the baseline by 14.34%. [2025-06-12T22:46:37.801Z] Top recommended movies for user id 72: [2025-06-12T22:46:37.801Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T22:46:37.801Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T22:46:37.801Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T22:46:37.801Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T22:46:37.801Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T22:46:37.801Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (17798.007 ms) ====== [2025-06-12T22:46:37.801Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-06-12T22:46:38.122Z] GC before operation: completed in 175.858 ms, heap usage 201.321 MB -> 88.911 MB. [2025-06-12T22:46:41.032Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T22:46:44.114Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T22:46:46.325Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T22:46:49.236Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T22:46:50.862Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T22:46:52.489Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T22:46:54.112Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T22:46:55.745Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T22:46:55.745Z] 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. [2025-06-12T22:46:55.745Z] The best model improves the baseline by 14.34%. [2025-06-12T22:46:56.066Z] Top recommended movies for user id 72: [2025-06-12T22:46:56.066Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T22:46:56.066Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T22:46:56.066Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T22:46:56.066Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T22:46:56.066Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T22:46:56.066Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (18098.405 ms) ====== [2025-06-12T22:46:56.066Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-06-12T22:46:56.389Z] GC before operation: completed in 190.152 ms, heap usage 620.754 MB -> 92.611 MB. [2025-06-12T22:46:59.305Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T22:47:01.523Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T22:47:04.432Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T22:47:06.723Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T22:47:08.363Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T22:47:09.988Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T22:47:12.203Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T22:47:13.324Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T22:47:14.017Z] 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. [2025-06-12T22:47:14.017Z] The best model improves the baseline by 14.34%. [2025-06-12T22:47:14.017Z] Top recommended movies for user id 72: [2025-06-12T22:47:14.017Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T22:47:14.017Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T22:47:14.017Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T22:47:14.017Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T22:47:14.017Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T22:47:14.017Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (17799.154 ms) ====== [2025-06-12T22:47:14.017Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-06-12T22:47:14.338Z] GC before operation: completed in 184.306 ms, heap usage 408.067 MB -> 89.369 MB. [2025-06-12T22:47:17.251Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T22:47:20.160Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T22:47:23.063Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T22:47:25.278Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T22:47:26.950Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T22:47:28.579Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T22:47:30.795Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T22:47:32.419Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T22:47:32.419Z] 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. [2025-06-12T22:47:32.419Z] The best model improves the baseline by 14.34%. [2025-06-12T22:47:32.419Z] Top recommended movies for user id 72: [2025-06-12T22:47:32.419Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T22:47:32.419Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T22:47:32.419Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T22:47:32.419Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T22:47:32.419Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T22:47:32.419Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18253.924 ms) ====== [2025-06-12T22:47:32.419Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-06-12T22:47:32.739Z] GC before operation: completed in 178.895 ms, heap usage 441.098 MB -> 92.329 MB. [2025-06-12T22:47:35.646Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T22:47:37.864Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T22:47:40.767Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T22:47:43.672Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T22:47:44.795Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T22:47:46.424Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T22:47:48.074Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T22:47:49.743Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T22:47:50.064Z] 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. [2025-06-12T22:47:50.064Z] The best model improves the baseline by 14.34%. [2025-06-12T22:47:50.064Z] Top recommended movies for user id 72: [2025-06-12T22:47:50.064Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T22:47:50.064Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T22:47:50.064Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T22:47:50.064Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T22:47:50.064Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T22:47:50.064Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (17382.079 ms) ====== [2025-06-12T22:47:50.064Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-06-12T22:47:50.385Z] GC before operation: completed in 184.727 ms, heap usage 409.180 MB -> 89.388 MB. [2025-06-12T22:47:53.294Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T22:47:56.198Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T22:47:59.101Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T22:48:01.312Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T22:48:02.941Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T22:48:04.605Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T22:48:06.230Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T22:48:07.854Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T22:48:07.854Z] 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. [2025-06-12T22:48:07.854Z] The best model improves the baseline by 14.34%. [2025-06-12T22:48:08.175Z] Top recommended movies for user id 72: [2025-06-12T22:48:08.175Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T22:48:08.175Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T22:48:08.175Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T22:48:08.175Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T22:48:08.175Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T22:48:08.175Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (17809.579 ms) ====== [2025-06-12T22:48:08.175Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-06-12T22:48:08.175Z] GC before operation: completed in 188.332 ms, heap usage 537.812 MB -> 92.888 MB. [2025-06-12T22:48:11.143Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T22:48:13.354Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T22:48:16.260Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T22:48:19.167Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T22:48:20.805Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T22:48:21.981Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T22:48:23.605Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T22:48:25.233Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T22:48:25.555Z] 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. [2025-06-12T22:48:25.555Z] The best model improves the baseline by 14.34%. [2025-06-12T22:48:25.877Z] Top recommended movies for user id 72: [2025-06-12T22:48:25.877Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T22:48:25.877Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T22:48:25.877Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T22:48:25.877Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T22:48:25.877Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T22:48:25.877Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (17553.093 ms) ====== [2025-06-12T22:48:25.877Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-06-12T22:48:25.877Z] GC before operation: completed in 175.663 ms, heap usage 183.406 MB -> 88.917 MB. [2025-06-12T22:48:28.781Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T22:48:31.065Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T22:48:33.978Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T22:48:36.192Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T22:48:37.868Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T22:48:39.493Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T22:48:41.120Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T22:48:42.745Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T22:48:42.745Z] 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. [2025-06-12T22:48:42.745Z] The best model improves the baseline by 14.34%. [2025-06-12T22:48:43.065Z] Top recommended movies for user id 72: [2025-06-12T22:48:43.065Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T22:48:43.065Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T22:48:43.065Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T22:48:43.065Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T22:48:43.065Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T22:48:43.065Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (16912.782 ms) ====== [2025-06-12T22:48:43.065Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-06-12T22:48:43.065Z] GC before operation: completed in 180.358 ms, heap usage 430.557 MB -> 89.515 MB. [2025-06-12T22:48:45.979Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T22:48:48.191Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T22:48:51.099Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T22:48:53.379Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T22:48:55.008Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T22:48:56.632Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T22:48:58.253Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T22:48:59.876Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T22:49:00.196Z] 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. [2025-06-12T22:49:00.196Z] The best model improves the baseline by 14.34%. [2025-06-12T22:49:00.196Z] Top recommended movies for user id 72: [2025-06-12T22:49:00.196Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T22:49:00.196Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T22:49:00.196Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T22:49:00.196Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T22:49:00.196Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T22:49:00.196Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (17081.696 ms) ====== [2025-06-12T22:49:00.196Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-06-12T22:49:00.516Z] GC before operation: completed in 183.028 ms, heap usage 430.627 MB -> 89.460 MB. [2025-06-12T22:49:03.417Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T22:49:05.633Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T22:49:08.565Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T22:49:10.778Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T22:49:12.403Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T22:49:14.025Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T22:49:15.717Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T22:49:17.383Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T22:49:17.383Z] 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. [2025-06-12T22:49:17.383Z] The best model improves the baseline by 14.34%. [2025-06-12T22:49:17.702Z] Top recommended movies for user id 72: [2025-06-12T22:49:17.702Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T22:49:17.702Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T22:49:17.702Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T22:49:17.702Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T22:49:17.702Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T22:49:17.702Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (17265.341 ms) ====== [2025-06-12T22:49:17.702Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-06-12T22:49:17.702Z] GC before operation: completed in 188.050 ms, heap usage 155.385 MB -> 89.004 MB. [2025-06-12T22:49:20.612Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T22:49:23.514Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T22:49:26.416Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T22:49:28.628Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T22:49:30.255Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T22:49:31.911Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T22:49:33.543Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T22:49:35.168Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T22:49:35.168Z] 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. [2025-06-12T22:49:35.168Z] The best model improves the baseline by 14.34%. [2025-06-12T22:49:35.488Z] Top recommended movies for user id 72: [2025-06-12T22:49:35.488Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T22:49:35.488Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T22:49:35.488Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T22:49:35.488Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T22:49:35.488Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T22:49:35.488Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (17607.305 ms) ====== [2025-06-12T22:49:35.488Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-06-12T22:49:35.488Z] GC before operation: completed in 180.040 ms, heap usage 543.641 MB -> 92.709 MB. [2025-06-12T22:49:38.472Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T22:49:40.682Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T22:49:43.589Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T22:49:45.804Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T22:49:47.429Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T22:49:49.055Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T22:49:50.681Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T22:49:52.309Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T22:49:52.309Z] 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. [2025-06-12T22:49:52.309Z] The best model improves the baseline by 14.34%. [2025-06-12T22:49:52.635Z] Top recommended movies for user id 72: [2025-06-12T22:49:52.635Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T22:49:52.635Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T22:49:52.635Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T22:49:52.635Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T22:49:52.635Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T22:49:52.635Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (16961.551 ms) ====== [2025-06-12T22:49:52.635Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-06-12T22:49:52.635Z] GC before operation: completed in 182.950 ms, heap usage 580.996 MB -> 92.862 MB. [2025-06-12T22:49:55.549Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T22:49:57.764Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T22:50:00.708Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T22:50:02.928Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T22:50:04.553Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T22:50:06.178Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T22:50:07.808Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T22:50:09.445Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T22:50:09.445Z] 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. [2025-06-12T22:50:09.780Z] The best model improves the baseline by 14.34%. [2025-06-12T22:50:09.780Z] Top recommended movies for user id 72: [2025-06-12T22:50:09.780Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T22:50:09.780Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T22:50:09.780Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T22:50:09.780Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T22:50:09.780Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T22:50:09.780Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (17007.008 ms) ====== [2025-06-12T22:50:10.100Z] ----------------------------------- [2025-06-12T22:50:10.100Z] renaissance-movie-lens_0_PASSED [2025-06-12T22:50:10.100Z] ----------------------------------- [2025-06-12T22:50:10.100Z] [2025-06-12T22:50:10.100Z] TEST TEARDOWN: [2025-06-12T22:50:10.100Z] Nothing to be done for teardown. [2025-06-12T22:50:10.100Z] renaissance-movie-lens_0 Finish Time: Thu Jun 12 22:50:09 2025 Epoch Time (ms): 1749768609977