[2025-05-15T16:23:06.921Z] Running test renaissance-movie-lens_0 ... [2025-05-15T16:23:06.921Z] =============================================== [2025-05-15T16:23:06.921Z] renaissance-movie-lens_0 Start Time: Thu May 15 16:22:56 2025 Epoch Time (ms): 1747326176241 [2025-05-15T16:23:06.921Z] variation: NoOptions [2025-05-15T16:23:06.921Z] JVM_OPTIONS: [2025-05-15T16:23:06.921Z] { \ [2025-05-15T16:23:06.921Z] echo ""; echo "TEST SETUP:"; \ [2025-05-15T16:23:06.921Z] echo "Nothing to be done for setup."; \ [2025-05-15T16:23:06.921Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17473232934065/renaissance-movie-lens_0"; \ [2025-05-15T16:23:06.921Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17473232934065/renaissance-movie-lens_0"; \ [2025-05-15T16:23:06.921Z] echo ""; echo "TESTING:"; \ [2025-05-15T16:23:06.921Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_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_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17473232934065/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-05-15T16:23:06.921Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17473232934065/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-05-15T16:23:06.921Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-05-15T16:23:06.921Z] echo "Nothing to be done for teardown."; \ [2025-05-15T16:23:06.921Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17473232934065/TestTargetResult"; [2025-05-15T16:23:06.921Z] [2025-05-15T16:23:06.921Z] TEST SETUP: [2025-05-15T16:23:06.921Z] Nothing to be done for setup. [2025-05-15T16:23:06.921Z] [2025-05-15T16:23:06.921Z] TESTING: [2025-05-15T16:23:19.334Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-05-15T16:23:19.334Z] 16:23:13.695 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. [2025-05-15T16:23:19.334Z] Got 100004 ratings from 671 users on 9066 movies. [2025-05-15T16:23:19.334Z] Training: 60056, validation: 20285, test: 19854 [2025-05-15T16:23:19.334Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-05-15T16:23:19.334Z] GC before operation: completed in 200.853 ms, heap usage 142.308 MB -> 75.658 MB. [2025-05-15T16:23:37.396Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-15T16:23:51.888Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-15T16:23:51.888Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-15T16:24:00.734Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-15T16:24:05.722Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-15T16:24:13.467Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-15T16:24:15.198Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-15T16:24:21.891Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-15T16:24:21.891Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-15T16:24:21.891Z] The best model improves the baseline by 14.34%. [2025-05-15T16:24:21.891Z] Top recommended movies for user id 72: [2025-05-15T16:24:21.891Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-15T16:24:21.891Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-15T16:24:21.891Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-15T16:24:21.891Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-15T16:24:21.891Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-15T16:24:21.891Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (61962.828 ms) ====== [2025-05-15T16:24:21.891Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-05-15T16:24:21.891Z] GC before operation: completed in 327.813 ms, heap usage 229.960 MB -> 101.051 MB. [2025-05-15T16:24:30.470Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-15T16:24:35.285Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-15T16:24:43.167Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-15T16:24:56.592Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-15T16:25:05.520Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-15T16:25:05.520Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-15T16:25:05.520Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-15T16:25:05.520Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-15T16:25:05.520Z] 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. [2025-05-15T16:25:05.520Z] The best model improves the baseline by 14.34%. [2025-05-15T16:25:05.520Z] Top recommended movies for user id 72: [2025-05-15T16:25:05.520Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-15T16:25:05.520Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-15T16:25:05.520Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-15T16:25:05.520Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-15T16:25:05.520Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-15T16:25:05.520Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (41881.236 ms) ====== [2025-05-15T16:25:05.520Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-05-15T16:25:05.520Z] GC before operation: completed in 207.501 ms, heap usage 246.065 MB -> 87.912 MB. [2025-05-15T16:25:10.967Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-15T16:25:17.545Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-15T16:25:24.377Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-15T16:25:30.793Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-15T16:25:39.590Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-15T16:25:40.267Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-15T16:25:43.942Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-15T16:25:49.287Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-15T16:25:49.287Z] 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. [2025-05-15T16:25:49.287Z] The best model improves the baseline by 14.34%. [2025-05-15T16:25:49.287Z] Top recommended movies for user id 72: [2025-05-15T16:25:49.287Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-15T16:25:49.287Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-15T16:25:49.287Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-15T16:25:49.287Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-15T16:25:49.287Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-15T16:25:49.287Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (45621.662 ms) ====== [2025-05-15T16:25:49.287Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-05-15T16:25:49.933Z] GC before operation: completed in 380.441 ms, heap usage 199.689 MB -> 88.447 MB. [2025-05-15T16:25:56.577Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-15T16:26:03.007Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-15T16:26:16.930Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-15T16:26:25.835Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-15T16:26:25.835Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-15T16:26:25.835Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-15T16:26:25.835Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-15T16:26:26.522Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-15T16:26:26.522Z] 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. [2025-05-15T16:26:27.574Z] The best model improves the baseline by 14.34%. [2025-05-15T16:26:27.574Z] Top recommended movies for user id 72: [2025-05-15T16:26:27.574Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-15T16:26:27.574Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-15T16:26:27.574Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-15T16:26:27.574Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-15T16:26:27.574Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-15T16:26:27.574Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (37270.308 ms) ====== [2025-05-15T16:26:27.574Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-05-15T16:26:27.574Z] GC before operation: completed in 236.365 ms, heap usage 171.731 MB -> 88.785 MB. [2025-05-15T16:26:34.085Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-15T16:26:38.084Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-15T16:26:48.528Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-15T16:26:48.528Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-15T16:26:51.570Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-15T16:26:54.922Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-15T16:26:57.998Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-15T16:27:04.079Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-15T16:27:04.079Z] 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. [2025-05-15T16:27:04.079Z] The best model improves the baseline by 14.34%. [2025-05-15T16:27:04.079Z] Top recommended movies for user id 72: [2025-05-15T16:27:04.079Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-15T16:27:04.079Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-15T16:27:04.079Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-15T16:27:04.079Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-15T16:27:04.079Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-15T16:27:04.079Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (33906.941 ms) ====== [2025-05-15T16:27:04.079Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-05-15T16:27:04.079Z] GC before operation: completed in 240.303 ms, heap usage 307.833 MB -> 89.102 MB. [2025-05-15T16:27:07.299Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-15T16:27:13.174Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-15T16:27:17.945Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-15T16:27:27.950Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-15T16:27:27.950Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-15T16:27:31.228Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-15T16:27:36.136Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-15T16:27:57.706Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-15T16:27:57.706Z] 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. [2025-05-15T16:27:57.706Z] The best model improves the baseline by 14.34%. [2025-05-15T16:27:57.706Z] Top recommended movies for user id 72: [2025-05-15T16:27:57.706Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-15T16:27:57.706Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-15T16:27:57.706Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-15T16:27:57.706Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-15T16:27:57.706Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-15T16:27:57.706Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (39521.979 ms) ====== [2025-05-15T16:27:57.706Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-05-15T16:27:57.706Z] GC before operation: completed in 238.855 ms, heap usage 241.824 MB -> 91.298 MB. [2025-05-15T16:27:57.706Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-15T16:27:57.706Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-15T16:27:59.682Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-15T16:28:05.546Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-15T16:28:08.357Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-15T16:28:11.657Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-15T16:28:14.923Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-15T16:28:20.152Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-15T16:28:20.152Z] 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. [2025-05-15T16:28:20.152Z] The best model improves the baseline by 14.34%. [2025-05-15T16:28:20.152Z] Top recommended movies for user id 72: [2025-05-15T16:28:20.152Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-15T16:28:20.152Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-15T16:28:20.152Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-15T16:28:20.152Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-15T16:28:20.152Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-15T16:28:20.152Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (38624.583 ms) ====== [2025-05-15T16:28:20.152Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-05-15T16:28:20.152Z] GC before operation: completed in 194.844 ms, heap usage 146.054 MB -> 88.972 MB. [2025-05-15T16:28:24.882Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-15T16:28:30.116Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-15T16:28:34.727Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-15T16:28:46.973Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-15T16:28:46.973Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-15T16:28:46.973Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-15T16:28:49.877Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-15T16:28:50.562Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-15T16:28:51.378Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-15T16:28:51.378Z] The best model improves the baseline by 14.34%. [2025-05-15T16:28:51.378Z] Top recommended movies for user id 72: [2025-05-15T16:28:51.378Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-15T16:28:51.378Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-15T16:28:51.378Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-15T16:28:51.378Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-15T16:28:51.378Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-15T16:28:51.378Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (31416.145 ms) ====== [2025-05-15T16:28:51.378Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-05-15T16:28:51.378Z] GC before operation: completed in 215.661 ms, heap usage 234.204 MB -> 89.383 MB. [2025-05-15T16:28:56.438Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-15T16:29:02.358Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-15T16:29:14.832Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-15T16:29:14.832Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-15T16:29:24.337Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-15T16:29:24.337Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-15T16:29:24.337Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-15T16:29:27.358Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-15T16:29:27.358Z] 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. [2025-05-15T16:29:27.358Z] The best model improves the baseline by 14.34%. [2025-05-15T16:29:27.358Z] Top recommended movies for user id 72: [2025-05-15T16:29:27.358Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-15T16:29:27.358Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-15T16:29:27.358Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-15T16:29:27.358Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-15T16:29:27.358Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-15T16:29:27.358Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (34625.757 ms) ====== [2025-05-15T16:29:27.358Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-05-15T16:29:27.358Z] GC before operation: completed in 267.658 ms, heap usage 224.445 MB -> 89.197 MB. [2025-05-15T16:29:33.590Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-15T16:29:37.499Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-15T16:29:43.535Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-15T16:29:47.163Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-15T16:29:50.350Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-15T16:29:52.593Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-15T16:29:55.802Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-15T16:29:57.939Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-15T16:29:58.613Z] 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. [2025-05-15T16:29:58.613Z] The best model improves the baseline by 14.34%. [2025-05-15T16:29:58.613Z] Top recommended movies for user id 72: [2025-05-15T16:29:58.613Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-15T16:29:58.613Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-15T16:29:58.613Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-15T16:29:58.613Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-15T16:29:58.613Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-15T16:29:58.613Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (32378.022 ms) ====== [2025-05-15T16:29:58.613Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-05-15T16:29:59.311Z] GC before operation: completed in 178.465 ms, heap usage 177.204 MB -> 89.401 MB. [2025-05-15T16:30:06.386Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-15T16:30:11.920Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-15T16:30:12.641Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-15T16:30:17.181Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-15T16:30:19.499Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-15T16:30:21.999Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-15T16:30:24.605Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-15T16:30:26.824Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-15T16:30:27.522Z] 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. [2025-05-15T16:30:27.522Z] The best model improves the baseline by 14.34%. [2025-05-15T16:30:27.522Z] Top recommended movies for user id 72: [2025-05-15T16:30:27.522Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-15T16:30:27.522Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-15T16:30:27.522Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-15T16:30:27.522Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-15T16:30:27.522Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-15T16:30:27.522Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (28642.893 ms) ====== [2025-05-15T16:30:27.522Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-05-15T16:30:28.242Z] GC before operation: completed in 200.513 ms, heap usage 179.254 MB -> 89.053 MB. [2025-05-15T16:30:37.957Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-15T16:30:37.958Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-15T16:30:48.905Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-15T16:30:48.905Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-15T16:30:48.905Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-15T16:30:48.905Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-15T16:30:53.544Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-15T16:30:54.262Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-15T16:30:54.262Z] 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. [2025-05-15T16:30:54.262Z] The best model improves the baseline by 14.34%. [2025-05-15T16:30:54.262Z] Top recommended movies for user id 72: [2025-05-15T16:30:54.262Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-15T16:30:54.262Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-15T16:30:54.262Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-15T16:30:54.262Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-15T16:30:54.262Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-15T16:30:54.262Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (26342.928 ms) ====== [2025-05-15T16:30:54.262Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-05-15T16:30:54.945Z] GC before operation: completed in 320.820 ms, heap usage 114.866 MB -> 89.378 MB. [2025-05-15T16:30:59.025Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-15T16:31:04.296Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-15T16:31:08.361Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-15T16:31:13.650Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-15T16:31:20.984Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-15T16:31:20.984Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-15T16:31:21.640Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-15T16:31:24.979Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-15T16:31:25.645Z] 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. [2025-05-15T16:31:25.645Z] The best model improves the baseline by 14.34%. [2025-05-15T16:31:25.645Z] Top recommended movies for user id 72: [2025-05-15T16:31:25.645Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-15T16:31:25.645Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-15T16:31:25.645Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-15T16:31:25.645Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-15T16:31:25.645Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-15T16:31:25.645Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (30990.959 ms) ====== [2025-05-15T16:31:25.645Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-05-15T16:31:25.645Z] GC before operation: completed in 252.399 ms, heap usage 313.276 MB -> 89.691 MB. [2025-05-15T16:31:31.794Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-15T16:31:35.542Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-15T16:31:40.380Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-15T16:31:43.416Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-15T16:31:45.642Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-15T16:31:47.821Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-15T16:31:49.960Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-15T16:32:13.697Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-15T16:32:13.698Z] 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. [2025-05-15T16:32:13.698Z] The best model improves the baseline by 14.34%. [2025-05-15T16:32:13.738Z] Top recommended movies for user id 72: [2025-05-15T16:32:13.738Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-15T16:32:13.738Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-15T16:32:13.738Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-15T16:32:13.738Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-15T16:32:13.738Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-15T16:32:13.738Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (27034.652 ms) ====== [2025-05-15T16:32:13.738Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-05-15T16:32:13.738Z] GC before operation: completed in 221.001 ms, heap usage 164.003 MB -> 89.256 MB. [2025-05-15T16:32:13.738Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-15T16:32:13.738Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-15T16:32:13.738Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-15T16:32:13.738Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-15T16:32:13.738Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-15T16:32:14.425Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-15T16:32:14.425Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-15T16:32:14.425Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-15T16:32:14.425Z] 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. [2025-05-15T16:32:14.425Z] The best model improves the baseline by 14.34%. [2025-05-15T16:32:15.078Z] Top recommended movies for user id 72: [2025-05-15T16:32:15.078Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-15T16:32:15.078Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-15T16:32:15.078Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-15T16:32:15.078Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-15T16:32:15.078Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-15T16:32:15.078Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (21640.253 ms) ====== [2025-05-15T16:32:15.078Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-05-15T16:32:15.078Z] GC before operation: completed in 224.494 ms, heap usage 171.355 MB -> 89.430 MB. [2025-05-15T16:32:18.096Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-15T16:32:22.860Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-15T16:32:25.824Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-15T16:32:28.369Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-15T16:32:30.614Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-15T16:32:32.925Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-15T16:32:35.575Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-15T16:32:37.793Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-15T16:32:37.793Z] 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. [2025-05-15T16:32:37.793Z] The best model improves the baseline by 14.34%. [2025-05-15T16:32:37.793Z] Top recommended movies for user id 72: [2025-05-15T16:32:37.793Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-15T16:32:37.793Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-15T16:32:37.793Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-15T16:32:37.793Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-15T16:32:37.793Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-15T16:32:37.793Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (23041.447 ms) ====== [2025-05-15T16:32:37.793Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-05-15T16:32:38.469Z] GC before operation: completed in 213.738 ms, heap usage 141.500 MB -> 89.279 MB. [2025-05-15T16:32:42.392Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-15T16:32:45.397Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-15T16:32:49.380Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-15T16:32:53.313Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-15T16:32:55.637Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-15T16:32:57.004Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-15T16:32:59.293Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-15T16:33:01.238Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-15T16:33:01.238Z] 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. [2025-05-15T16:33:01.238Z] The best model improves the baseline by 14.34%. [2025-05-15T16:33:01.934Z] Top recommended movies for user id 72: [2025-05-15T16:33:01.934Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-15T16:33:01.934Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-15T16:33:01.934Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-15T16:33:01.934Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-15T16:33:01.934Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-15T16:33:01.934Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (23478.540 ms) ====== [2025-05-15T16:33:01.934Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-05-15T16:33:01.934Z] GC before operation: completed in 235.406 ms, heap usage 167.120 MB -> 89.421 MB. [2025-05-15T16:33:23.001Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-15T16:33:23.001Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-15T16:33:23.001Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-15T16:33:23.001Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-15T16:33:23.001Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-15T16:33:23.001Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-15T16:33:23.001Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-15T16:33:34.822Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-15T16:33:34.822Z] 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. [2025-05-15T16:33:34.822Z] The best model improves the baseline by 14.34%. [2025-05-15T16:33:34.822Z] Top recommended movies for user id 72: [2025-05-15T16:33:34.822Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-15T16:33:34.822Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-15T16:33:34.822Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-15T16:33:34.822Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-15T16:33:34.822Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-15T16:33:34.822Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (22435.209 ms) ====== [2025-05-15T16:33:34.822Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-05-15T16:33:34.822Z] GC before operation: completed in 163.201 ms, heap usage 312.579 MB -> 89.580 MB. [2025-05-15T16:33:34.822Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-15T16:33:34.822Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-15T16:33:34.822Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-15T16:33:43.108Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-15T16:33:43.108Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-15T16:33:43.108Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-15T16:33:44.536Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-15T16:33:47.461Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-15T16:33:47.461Z] 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. [2025-05-15T16:33:47.461Z] The best model improves the baseline by 14.34%. [2025-05-15T16:33:47.461Z] Top recommended movies for user id 72: [2025-05-15T16:33:47.461Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-15T16:33:47.461Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-15T16:33:47.461Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-15T16:33:47.461Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-15T16:33:47.461Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-15T16:33:47.461Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (22249.176 ms) ====== [2025-05-15T16:33:47.461Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-05-15T16:33:47.461Z] GC before operation: completed in 246.672 ms, heap usage 163.524 MB -> 89.443 MB. [2025-05-15T16:33:50.709Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-15T16:33:58.023Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-15T16:33:58.023Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-15T16:34:00.984Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-15T16:34:01.678Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-15T16:34:03.602Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-15T16:34:05.228Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-15T16:34:14.757Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-15T16:34:14.757Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-15T16:34:14.757Z] The best model improves the baseline by 14.34%. [2025-05-15T16:34:14.757Z] Top recommended movies for user id 72: [2025-05-15T16:34:14.757Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-15T16:34:14.757Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-15T16:34:14.757Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-15T16:34:14.757Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-15T16:34:14.757Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-15T16:34:14.757Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (20743.938 ms) ====== [2025-05-15T16:34:14.757Z] ----------------------------------- [2025-05-15T16:34:14.757Z] renaissance-movie-lens_0_PASSED [2025-05-15T16:34:14.757Z] ----------------------------------- [2025-05-15T16:34:14.757Z] [2025-05-15T16:34:14.757Z] TEST TEARDOWN: [2025-05-15T16:34:14.757Z] Nothing to be done for teardown. [2025-05-15T16:34:14.757Z] renaissance-movie-lens_0 Finish Time: Thu May 15 16:34:07 2025 Epoch Time (ms): 1747326847920