[2025-12-24T22:43:32.933Z] Running test renaissance-movie-lens_0 ... [2025-12-24T22:43:32.933Z] =============================================== [2025-12-24T22:43:32.933Z] renaissance-movie-lens_0 Start Time: Wed Dec 24 22:43:32 2025 Epoch Time (ms): 1766616212338 [2025-12-24T22:43:32.933Z] variation: NoOptions [2025-12-24T22:43:32.933Z] JVM_OPTIONS: [2025-12-24T22:43:32.933Z] { \ [2025-12-24T22:43:32.933Z] echo ""; echo "TEST SETUP:"; \ [2025-12-24T22:43:32.933Z] echo "Nothing to be done for setup."; \ [2025-12-24T22:43:32.933Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17666146081581/renaissance-movie-lens_0"; \ [2025-12-24T22:43:32.933Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17666146081581/renaissance-movie-lens_0"; \ [2025-12-24T22:43:32.933Z] echo ""; echo "TESTING:"; \ [2025-12-24T22:43:32.933Z] "/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_17666146081581/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-12-24T22:43:32.933Z] 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_17666146081581/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-12-24T22:43:32.933Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-12-24T22:43:32.933Z] echo "Nothing to be done for teardown."; \ [2025-12-24T22:43:32.933Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17666146081581/TestTargetResult"; [2025-12-24T22:43:32.933Z] [2025-12-24T22:43:32.933Z] TEST SETUP: [2025-12-24T22:43:32.933Z] Nothing to be done for setup. [2025-12-24T22:43:32.933Z] [2025-12-24T22:43:32.933Z] TESTING: [2025-12-24T22:43:37.634Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-12-24T22:43:41.362Z] 22:43:41.147 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. [2025-12-24T22:43:43.373Z] Got 100004 ratings from 671 users on 9066 movies. [2025-12-24T22:43:43.990Z] Training: 60056, validation: 20285, test: 19854 [2025-12-24T22:43:43.990Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-12-24T22:43:44.620Z] GC before operation: completed in 123.152 ms, heap usage 249.646 MB -> 75.529 MB. [2025-12-24T22:43:50.442Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:43:55.180Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:43:57.988Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:44:00.806Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:44:02.821Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:44:04.842Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:44:06.863Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:44:08.149Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:44:08.149Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-24T22:44:08.768Z] The best model improves the baseline by 14.34%. [2025-12-24T22:44:08.768Z] Top recommended movies for user id 72: [2025-12-24T22:44:08.768Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:44:08.768Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:44:08.768Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:44:08.768Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:44:08.768Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:44:08.768Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (24298.798 ms) ====== [2025-12-24T22:44:08.768Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-12-24T22:44:08.768Z] GC before operation: completed in 175.972 ms, heap usage 159.231 MB -> 100.801 MB. [2025-12-24T22:44:11.944Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:44:14.773Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:44:17.582Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:44:19.599Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:44:20.888Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:44:22.902Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:44:24.188Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:44:25.474Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:44:25.474Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-24T22:44:25.474Z] The best model improves the baseline by 14.34%. [2025-12-24T22:44:25.474Z] Top recommended movies for user id 72: [2025-12-24T22:44:25.474Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:44:25.474Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:44:25.474Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:44:25.474Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:44:25.474Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:44:25.475Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (16844.650 ms) ====== [2025-12-24T22:44:25.475Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-12-24T22:44:26.094Z] GC before operation: completed in 147.683 ms, heap usage 404.259 MB -> 90.249 MB. [2025-12-24T22:44:28.909Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:44:30.934Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:44:33.748Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:44:35.035Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:44:36.320Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:44:38.337Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:44:38.954Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:44:40.974Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:44:40.974Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-24T22:44:40.974Z] The best model improves the baseline by 14.34%. [2025-12-24T22:44:40.974Z] Top recommended movies for user id 72: [2025-12-24T22:44:40.974Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:44:40.974Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:44:40.974Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:44:40.974Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:44:40.974Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:44:40.974Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (15115.180 ms) ====== [2025-12-24T22:44:40.974Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-12-24T22:44:40.974Z] GC before operation: completed in 114.653 ms, heap usage 219.302 MB -> 90.536 MB. [2025-12-24T22:44:43.787Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:44:45.804Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:44:47.826Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:44:50.697Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:44:52.347Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:44:53.638Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:44:54.923Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:44:56.214Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:44:56.214Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-24T22:44:56.214Z] The best model improves the baseline by 14.34%. [2025-12-24T22:44:56.214Z] Top recommended movies for user id 72: [2025-12-24T22:44:56.214Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:44:56.214Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:44:56.214Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:44:56.214Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:44:56.214Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:44:56.214Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (15347.263 ms) ====== [2025-12-24T22:44:56.214Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-12-24T22:44:56.833Z] GC before operation: completed in 147.701 ms, heap usage 164.924 MB -> 88.551 MB. [2025-12-24T22:44:58.845Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:45:00.862Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:45:03.748Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:45:05.764Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:45:07.077Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:45:07.694Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:45:09.720Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:45:11.002Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:45:11.002Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-24T22:45:11.002Z] The best model improves the baseline by 14.34%. [2025-12-24T22:45:11.002Z] Top recommended movies for user id 72: [2025-12-24T22:45:11.002Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:45:11.002Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:45:11.002Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:45:11.002Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:45:11.002Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:45:11.002Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (14587.679 ms) ====== [2025-12-24T22:45:11.002Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-12-24T22:45:11.620Z] GC before operation: completed in 135.920 ms, heap usage 210.801 MB -> 88.602 MB. [2025-12-24T22:45:13.643Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:45:15.660Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:45:18.485Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:45:20.501Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:45:22.541Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:45:23.838Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:45:25.144Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:45:26.433Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:45:26.433Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-24T22:45:26.433Z] The best model improves the baseline by 14.34%. [2025-12-24T22:45:26.433Z] Top recommended movies for user id 72: [2025-12-24T22:45:26.433Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:45:26.433Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:45:26.433Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:45:26.433Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:45:26.433Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:45:26.433Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15237.976 ms) ====== [2025-12-24T22:45:26.433Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-12-24T22:45:26.433Z] GC before operation: completed in 165.866 ms, heap usage 161.952 MB -> 88.887 MB. [2025-12-24T22:45:29.351Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:45:31.641Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:45:33.664Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:45:35.691Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:45:36.980Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:45:38.266Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:45:39.554Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:45:40.845Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:45:40.845Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-24T22:45:40.845Z] The best model improves the baseline by 14.34%. [2025-12-24T22:45:41.464Z] Top recommended movies for user id 72: [2025-12-24T22:45:41.464Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:45:41.464Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:45:41.464Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:45:41.464Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:45:41.464Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:45:41.464Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (14478.860 ms) ====== [2025-12-24T22:45:41.464Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-12-24T22:45:41.464Z] GC before operation: completed in 105.995 ms, heap usage 199.994 MB -> 88.909 MB. [2025-12-24T22:45:43.480Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:45:45.494Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:45:48.307Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:45:50.322Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:45:51.611Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:45:52.899Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:45:54.924Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:45:56.209Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:45:56.209Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-24T22:45:56.209Z] The best model improves the baseline by 14.34%. [2025-12-24T22:45:56.830Z] Top recommended movies for user id 72: [2025-12-24T22:45:56.830Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:45:56.830Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:45:56.830Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:45:56.830Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:45:56.830Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:45:56.830Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15312.308 ms) ====== [2025-12-24T22:45:56.830Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-12-24T22:45:56.830Z] GC before operation: completed in 135.860 ms, heap usage 203.258 MB -> 91.319 MB. [2025-12-24T22:45:58.844Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:46:01.671Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:46:03.692Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:46:06.578Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:46:07.872Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:46:09.547Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:46:10.165Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:46:11.455Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:46:11.455Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-24T22:46:11.455Z] The best model improves the baseline by 14.34%. [2025-12-24T22:46:12.077Z] Top recommended movies for user id 72: [2025-12-24T22:46:12.077Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:46:12.077Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:46:12.077Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:46:12.077Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:46:12.077Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:46:12.077Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15081.302 ms) ====== [2025-12-24T22:46:12.077Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-12-24T22:46:12.077Z] GC before operation: completed in 108.613 ms, heap usage 155.278 MB -> 88.946 MB. [2025-12-24T22:46:14.095Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:46:16.115Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:46:18.136Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:46:20.148Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:46:21.437Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:46:22.723Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:46:24.747Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:46:25.364Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:46:25.364Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-24T22:46:25.364Z] The best model improves the baseline by 14.34%. [2025-12-24T22:46:25.982Z] Top recommended movies for user id 72: [2025-12-24T22:46:25.982Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:46:25.982Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:46:25.982Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:46:25.982Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:46:25.982Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:46:25.982Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (13762.647 ms) ====== [2025-12-24T22:46:25.982Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-12-24T22:46:25.982Z] GC before operation: completed in 118.029 ms, heap usage 237.180 MB -> 89.254 MB. [2025-12-24T22:46:27.996Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:46:30.010Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:46:32.028Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:46:34.040Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:46:35.325Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:46:36.609Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:46:37.892Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:46:38.507Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:46:39.122Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-24T22:46:39.122Z] The best model improves the baseline by 14.34%. [2025-12-24T22:46:39.122Z] Top recommended movies for user id 72: [2025-12-24T22:46:39.122Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:46:39.122Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:46:39.122Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:46:39.122Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:46:39.122Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:46:39.122Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (13242.549 ms) ====== [2025-12-24T22:46:39.122Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-12-24T22:46:39.122Z] GC before operation: completed in 118.623 ms, heap usage 306.424 MB -> 89.144 MB. [2025-12-24T22:46:41.130Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:46:43.150Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:46:45.163Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:46:46.877Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:46:47.495Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:46:48.785Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:46:50.077Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:46:51.359Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:46:51.359Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-24T22:46:51.359Z] The best model improves the baseline by 14.34%. [2025-12-24T22:46:51.359Z] Top recommended movies for user id 72: [2025-12-24T22:46:51.359Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:46:51.359Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:46:51.359Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:46:51.359Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:46:51.359Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:46:51.359Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (12131.556 ms) ====== [2025-12-24T22:46:51.360Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-12-24T22:46:51.360Z] GC before operation: completed in 133.276 ms, heap usage 204.304 MB -> 89.165 MB. [2025-12-24T22:46:53.472Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:46:55.478Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:46:57.489Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:46:59.559Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:47:00.840Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:47:02.123Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:47:03.407Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:47:04.690Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:47:04.690Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-24T22:47:04.690Z] The best model improves the baseline by 14.34%. [2025-12-24T22:47:04.690Z] Top recommended movies for user id 72: [2025-12-24T22:47:04.690Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:47:04.690Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:47:04.690Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:47:04.690Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:47:04.690Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:47:04.690Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (13316.913 ms) ====== [2025-12-24T22:47:04.690Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-12-24T22:47:04.690Z] GC before operation: completed in 193.992 ms, heap usage 177.334 MB -> 89.276 MB. [2025-12-24T22:47:06.702Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:47:08.713Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:47:11.521Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:47:12.804Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:47:14.086Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:47:14.712Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:47:16.729Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:47:18.013Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:47:18.013Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-24T22:47:18.013Z] The best model improves the baseline by 14.34%. [2025-12-24T22:47:18.629Z] Top recommended movies for user id 72: [2025-12-24T22:47:18.629Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:47:18.629Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:47:18.629Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:47:18.629Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:47:18.629Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:47:18.629Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (13355.347 ms) ====== [2025-12-24T22:47:18.629Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-12-24T22:47:18.629Z] GC before operation: completed in 123.859 ms, heap usage 458.089 MB -> 92.688 MB. [2025-12-24T22:47:21.515Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:47:24.691Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:47:25.975Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:47:27.988Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:47:29.274Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:47:30.560Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:47:31.843Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:47:33.136Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:47:33.754Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-24T22:47:33.754Z] The best model improves the baseline by 14.34%. [2025-12-24T22:47:33.754Z] Top recommended movies for user id 72: [2025-12-24T22:47:33.754Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:47:33.754Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:47:33.754Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:47:33.754Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:47:33.754Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:47:33.754Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15335.073 ms) ====== [2025-12-24T22:47:33.754Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-12-24T22:47:33.754Z] GC before operation: completed in 190.156 ms, heap usage 135.555 MB -> 92.446 MB. [2025-12-24T22:47:36.575Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:47:39.392Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:47:41.416Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:47:43.429Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:47:44.711Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:47:46.001Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:47:47.283Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:47:48.571Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:47:48.571Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-24T22:47:48.571Z] The best model improves the baseline by 14.34%. [2025-12-24T22:47:48.571Z] Top recommended movies for user id 72: [2025-12-24T22:47:48.571Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:47:48.571Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:47:48.571Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:47:48.571Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:47:48.571Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:47:48.571Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14699.826 ms) ====== [2025-12-24T22:47:48.571Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-12-24T22:47:48.571Z] GC before operation: completed in 144.703 ms, heap usage 128.210 MB -> 90.842 MB. [2025-12-24T22:47:51.399Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:47:54.316Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:47:56.330Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:47:58.368Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:47:58.985Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:48:00.268Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:48:02.279Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:48:02.895Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:48:02.895Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-24T22:48:03.893Z] The best model improves the baseline by 14.34%. [2025-12-24T22:48:03.893Z] Top recommended movies for user id 72: [2025-12-24T22:48:03.893Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:48:03.893Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:48:03.893Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:48:03.893Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:48:03.893Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:48:03.893Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14476.590 ms) ====== [2025-12-24T22:48:03.893Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-12-24T22:48:03.893Z] GC before operation: completed in 105.579 ms, heap usage 181.337 MB -> 91.461 MB. [2025-12-24T22:48:05.184Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:48:08.003Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:48:09.321Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:48:11.345Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:48:11.968Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:48:13.249Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:48:14.529Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:48:15.821Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:48:15.821Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-24T22:48:15.821Z] The best model improves the baseline by 14.34%. [2025-12-24T22:48:15.821Z] Top recommended movies for user id 72: [2025-12-24T22:48:15.821Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:48:15.821Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:48:15.821Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:48:15.821Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:48:15.821Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:48:15.821Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (12368.282 ms) ====== [2025-12-24T22:48:15.821Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-12-24T22:48:15.821Z] GC before operation: completed in 125.623 ms, heap usage 143.765 MB -> 89.064 MB. [2025-12-24T22:48:17.843Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:48:19.847Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:48:21.865Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:48:23.874Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:48:25.154Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:48:26.441Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:48:27.724Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:48:28.340Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:48:28.955Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-24T22:48:28.955Z] The best model improves the baseline by 14.34%. [2025-12-24T22:48:28.955Z] Top recommended movies for user id 72: [2025-12-24T22:48:28.955Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:48:28.955Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:48:28.955Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:48:28.955Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:48:28.955Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:48:28.955Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (12890.177 ms) ====== [2025-12-24T22:48:28.955Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-12-24T22:48:28.955Z] GC before operation: completed in 93.738 ms, heap usage 211.126 MB -> 90.981 MB. [2025-12-24T22:48:30.964Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:48:32.251Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:48:34.259Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:48:36.270Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:48:36.892Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:48:38.175Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:48:39.455Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:48:40.846Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:48:40.846Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-24T22:48:40.846Z] The best model improves the baseline by 14.34%. [2025-12-24T22:48:40.846Z] Top recommended movies for user id 72: [2025-12-24T22:48:40.846Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:48:40.846Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:48:40.846Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:48:40.846Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:48:40.846Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:48:40.846Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (12035.409 ms) ====== [2025-12-24T22:48:41.463Z] ----------------------------------- [2025-12-24T22:48:41.463Z] renaissance-movie-lens_0_PASSED [2025-12-24T22:48:41.463Z] ----------------------------------- [2025-12-24T22:48:41.463Z] [2025-12-24T22:48:41.463Z] TEST TEARDOWN: [2025-12-24T22:48:41.463Z] Nothing to be done for teardown. [2025-12-24T22:48:41.463Z] renaissance-movie-lens_0 Finish Time: Wed Dec 24 22:48:40 2025 Epoch Time (ms): 1766616520963