[2025-06-11T21:11:06.404Z] Running test renaissance-movie-lens_0 ... [2025-06-11T21:11:06.404Z] =============================================== [2025-06-11T21:11:06.404Z] renaissance-movie-lens_0 Start Time: Wed Jun 11 21:11:06 2025 Epoch Time (ms): 1749676266239 [2025-06-11T21:11:06.404Z] variation: NoOptions [2025-06-11T21:11:06.404Z] JVM_OPTIONS: [2025-06-11T21:11:06.404Z] { \ [2025-06-11T21:11:06.404Z] echo ""; echo "TEST SETUP:"; \ [2025-06-11T21:11:06.404Z] echo "Nothing to be done for setup."; \ [2025-06-11T21:11:06.404Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17496746368067/renaissance-movie-lens_0"; \ [2025-06-11T21:11:06.404Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17496746368067/renaissance-movie-lens_0"; \ [2025-06-11T21:11:06.404Z] echo ""; echo "TESTING:"; \ [2025-06-11T21:11:06.404Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17496746368067/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-06-11T21:11:06.404Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17496746368067/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-06-11T21:11:06.404Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-06-11T21:11:06.404Z] echo "Nothing to be done for teardown."; \ [2025-06-11T21:11:06.404Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17496746368067/TestTargetResult"; [2025-06-11T21:11:06.404Z] [2025-06-11T21:11:06.404Z] TEST SETUP: [2025-06-11T21:11:06.404Z] Nothing to be done for setup. [2025-06-11T21:11:06.404Z] [2025-06-11T21:11:06.404Z] TESTING: [2025-06-11T21:11:17.120Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-06-11T21:11:25.923Z] 21:11:24.795 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2025-06-11T21:11:28.910Z] Got 100004 ratings from 671 users on 9066 movies. [2025-06-11T21:11:29.604Z] Training: 60056, validation: 20285, test: 19854 [2025-06-11T21:11:29.604Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-06-11T21:11:29.604Z] GC before operation: completed in 179.592 ms, heap usage 487.037 MB -> 75.658 MB. [2025-06-11T21:11:38.427Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T21:11:47.274Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T21:11:53.109Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T21:11:56.836Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T21:11:59.749Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T21:12:02.652Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T21:12:05.647Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T21:12:07.871Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T21:12:07.871Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-11T21:12:08.193Z] The best model improves the baseline by 14.34%. [2025-06-11T21:12:08.193Z] Top recommended movies for user id 72: [2025-06-11T21:12:08.193Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-11T21:12:08.193Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-11T21:12:08.193Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-11T21:12:08.193Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-11T21:12:08.193Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-11T21:12:08.193Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (38651.760 ms) ====== [2025-06-11T21:12:08.193Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-06-11T21:12:08.514Z] GC before operation: completed in 179.677 ms, heap usage 299.100 MB -> 88.239 MB. [2025-06-11T21:12:12.232Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T21:12:15.958Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T21:12:18.861Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T21:12:21.766Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T21:12:24.023Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T21:12:25.677Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T21:12:27.898Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T21:12:29.521Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T21:12:29.844Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-11T21:12:30.169Z] The best model improves the baseline by 14.34%. [2025-06-11T21:12:30.170Z] Top recommended movies for user id 72: [2025-06-11T21:12:30.170Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-11T21:12:30.170Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-11T21:12:30.170Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-11T21:12:30.170Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-11T21:12:30.170Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-11T21:12:30.170Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (21778.177 ms) ====== [2025-06-11T21:12:30.170Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-06-11T21:12:30.488Z] GC before operation: completed in 179.992 ms, heap usage 208.530 MB -> 87.646 MB. [2025-06-11T21:12:34.297Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T21:12:37.205Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T21:12:40.928Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T21:12:45.531Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T21:12:45.531Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T21:12:47.156Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T21:12:49.365Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T21:12:50.991Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T21:12:51.311Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-11T21:12:51.635Z] The best model improves the baseline by 14.34%. [2025-06-11T21:12:51.635Z] Top recommended movies for user id 72: [2025-06-11T21:12:51.635Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-11T21:12:51.635Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-11T21:12:51.635Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-11T21:12:51.635Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-11T21:12:51.635Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-11T21:12:51.635Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (21170.985 ms) ====== [2025-06-11T21:12:51.635Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-06-11T21:12:51.956Z] GC before operation: completed in 180.655 ms, heap usage 358.824 MB -> 88.582 MB. [2025-06-11T21:12:54.862Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T21:12:57.768Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T21:13:01.506Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T21:13:04.425Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T21:13:06.050Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T21:13:07.679Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T21:13:09.899Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T21:13:11.523Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T21:13:11.844Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-11T21:13:11.844Z] The best model improves the baseline by 14.34%. [2025-06-11T21:13:11.844Z] Top recommended movies for user id 72: [2025-06-11T21:13:11.844Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-11T21:13:11.844Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-11T21:13:11.844Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-11T21:13:11.844Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-11T21:13:11.844Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-11T21:13:11.844Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20100.327 ms) ====== [2025-06-11T21:13:11.844Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-06-11T21:13:12.161Z] GC before operation: completed in 176.818 ms, heap usage 435.074 MB -> 88.979 MB. [2025-06-11T21:13:15.077Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T21:13:17.987Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T21:13:21.772Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T21:13:23.994Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T21:13:26.203Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T21:13:27.830Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T21:13:30.124Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T21:13:31.742Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T21:13:31.742Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-11T21:13:32.065Z] The best model improves the baseline by 14.34%. [2025-06-11T21:13:32.065Z] Top recommended movies for user id 72: [2025-06-11T21:13:32.065Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-11T21:13:32.065Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-11T21:13:32.065Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-11T21:13:32.065Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-11T21:13:32.065Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-11T21:13:32.065Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (20032.304 ms) ====== [2025-06-11T21:13:32.065Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-06-11T21:13:32.385Z] GC before operation: completed in 172.845 ms, heap usage 243.595 MB -> 88.613 MB. [2025-06-11T21:13:35.305Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T21:13:38.210Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T21:13:41.920Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T21:13:44.204Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T21:13:45.823Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T21:13:48.033Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T21:13:49.654Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T21:13:51.283Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T21:13:51.605Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-11T21:13:51.605Z] The best model improves the baseline by 14.34%. [2025-06-11T21:13:51.605Z] Top recommended movies for user id 72: [2025-06-11T21:13:51.605Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-11T21:13:51.605Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-11T21:13:51.605Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-11T21:13:51.605Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-11T21:13:51.605Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-11T21:13:51.605Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19387.329 ms) ====== [2025-06-11T21:13:51.605Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-06-11T21:13:51.926Z] GC before operation: completed in 164.812 ms, heap usage 243.305 MB -> 88.946 MB. [2025-06-11T21:13:54.893Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T21:13:57.845Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T21:14:00.823Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T21:14:03.736Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T21:14:05.356Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T21:14:07.569Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T21:14:09.189Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T21:14:11.404Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T21:14:11.724Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-11T21:14:11.724Z] The best model improves the baseline by 14.34%. [2025-06-11T21:14:12.043Z] Top recommended movies for user id 72: [2025-06-11T21:14:12.043Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-11T21:14:12.043Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-11T21:14:12.043Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-11T21:14:12.043Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-11T21:14:12.043Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-11T21:14:12.043Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (20218.724 ms) ====== [2025-06-11T21:14:12.044Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-06-11T21:14:12.366Z] GC before operation: completed in 165.119 ms, heap usage 442.852 MB -> 92.554 MB. [2025-06-11T21:14:15.271Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T21:14:18.179Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T21:14:21.081Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T21:14:23.379Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T21:14:25.004Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T21:14:26.692Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T21:14:28.906Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T21:14:30.533Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T21:14:30.855Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-11T21:14:30.855Z] The best model improves the baseline by 14.34%. [2025-06-11T21:14:30.855Z] Top recommended movies for user id 72: [2025-06-11T21:14:30.855Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-11T21:14:30.855Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-11T21:14:30.855Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-11T21:14:30.855Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-11T21:14:30.855Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-11T21:14:30.855Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (18708.717 ms) ====== [2025-06-11T21:14:30.855Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-06-11T21:14:31.176Z] GC before operation: completed in 163.909 ms, heap usage 169.749 MB -> 89.067 MB. [2025-06-11T21:14:34.083Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T21:14:36.991Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T21:14:39.901Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T21:14:42.874Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T21:14:43.995Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T21:14:46.206Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T21:14:47.829Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T21:14:49.449Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T21:14:49.449Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-11T21:14:49.778Z] The best model improves the baseline by 14.34%. [2025-06-11T21:14:49.778Z] Top recommended movies for user id 72: [2025-06-11T21:14:49.778Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-11T21:14:49.778Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-11T21:14:49.778Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-11T21:14:49.778Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-11T21:14:49.778Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-11T21:14:49.778Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (18724.260 ms) ====== [2025-06-11T21:14:49.778Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-06-11T21:14:50.105Z] GC before operation: completed in 188.914 ms, heap usage 310.842 MB -> 89.221 MB. [2025-06-11T21:14:53.011Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T21:14:55.223Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T21:14:58.125Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T21:15:01.028Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T21:15:02.654Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T21:15:04.279Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T21:15:05.909Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T21:15:07.533Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T21:15:07.854Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-11T21:15:07.854Z] The best model improves the baseline by 14.34%. [2025-06-11T21:15:08.175Z] Top recommended movies for user id 72: [2025-06-11T21:15:08.175Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-11T21:15:08.175Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-11T21:15:08.175Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-11T21:15:08.175Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-11T21:15:08.175Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-11T21:15:08.175Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (18019.500 ms) ====== [2025-06-11T21:15:08.175Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-06-11T21:15:08.175Z] GC before operation: completed in 158.827 ms, heap usage 145.590 MB -> 89.141 MB. [2025-06-11T21:15:11.086Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T21:15:14.004Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T21:15:17.012Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T21:15:19.280Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T21:15:20.909Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T21:15:22.534Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T21:15:24.158Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T21:15:25.879Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T21:15:26.199Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-11T21:15:26.199Z] The best model improves the baseline by 14.34%. [2025-06-11T21:15:26.199Z] Top recommended movies for user id 72: [2025-06-11T21:15:26.199Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-11T21:15:26.199Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-11T21:15:26.199Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-11T21:15:26.199Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-11T21:15:26.199Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-11T21:15:26.200Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18087.145 ms) ====== [2025-06-11T21:15:26.200Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-06-11T21:15:26.520Z] GC before operation: completed in 171.303 ms, heap usage 711.978 MB -> 93.506 MB. [2025-06-11T21:15:29.424Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T21:15:32.331Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T21:15:35.245Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T21:15:37.457Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T21:15:39.080Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T21:15:40.704Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T21:15:42.959Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T21:15:44.080Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T21:15:44.401Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-11T21:15:44.401Z] The best model improves the baseline by 14.34%. [2025-06-11T21:15:44.722Z] Top recommended movies for user id 72: [2025-06-11T21:15:44.722Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-11T21:15:44.722Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-11T21:15:44.722Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-11T21:15:44.722Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-11T21:15:44.722Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-11T21:15:44.722Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18138.651 ms) ====== [2025-06-11T21:15:44.722Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-06-11T21:15:44.722Z] GC before operation: completed in 161.990 ms, heap usage 252.825 MB -> 89.263 MB. [2025-06-11T21:15:47.631Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T21:15:50.536Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T21:15:53.439Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T21:15:55.657Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T21:15:57.311Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T21:15:58.935Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T21:16:00.653Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T21:16:02.862Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T21:16:02.862Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-11T21:16:02.862Z] The best model improves the baseline by 14.34%. [2025-06-11T21:16:02.862Z] Top recommended movies for user id 72: [2025-06-11T21:16:02.862Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-11T21:16:02.862Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-11T21:16:02.862Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-11T21:16:02.862Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-11T21:16:02.862Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-11T21:16:02.862Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (18135.514 ms) ====== [2025-06-11T21:16:02.862Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-06-11T21:16:03.183Z] GC before operation: completed in 163.146 ms, heap usage 117.279 MB -> 90.644 MB. [2025-06-11T21:16:06.085Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T21:16:08.984Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T21:16:11.886Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T21:16:14.099Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T21:16:16.310Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T21:16:17.432Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T21:16:19.051Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T21:16:20.675Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T21:16:21.000Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-11T21:16:21.000Z] The best model improves the baseline by 14.34%. [2025-06-11T21:16:21.322Z] Top recommended movies for user id 72: [2025-06-11T21:16:21.322Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-11T21:16:21.322Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-11T21:16:21.322Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-11T21:16:21.322Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-11T21:16:21.322Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-11T21:16:21.322Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (18105.033 ms) ====== [2025-06-11T21:16:21.322Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-06-11T21:16:21.322Z] GC before operation: completed in 178.483 ms, heap usage 712.664 MB -> 93.546 MB. [2025-06-11T21:16:24.302Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T21:16:26.575Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T21:16:29.519Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T21:16:32.420Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T21:16:34.039Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T21:16:35.174Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T21:16:37.382Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T21:16:38.503Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T21:16:38.829Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-11T21:16:38.829Z] The best model improves the baseline by 14.34%. [2025-06-11T21:16:38.829Z] Top recommended movies for user id 72: [2025-06-11T21:16:38.829Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-11T21:16:38.829Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-11T21:16:38.829Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-11T21:16:38.829Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-11T21:16:38.829Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-11T21:16:38.829Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (17615.108 ms) ====== [2025-06-11T21:16:38.829Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-06-11T21:16:39.154Z] GC before operation: completed in 160.238 ms, heap usage 427.198 MB -> 89.721 MB. [2025-06-11T21:16:42.064Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T21:16:44.314Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T21:16:47.231Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T21:16:50.135Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T21:16:51.360Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T21:16:53.022Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T21:16:54.643Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T21:16:56.270Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T21:16:56.270Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-11T21:16:56.270Z] The best model improves the baseline by 14.34%. [2025-06-11T21:16:56.591Z] Top recommended movies for user id 72: [2025-06-11T21:16:56.591Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-11T21:16:56.591Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-11T21:16:56.591Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-11T21:16:56.591Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-11T21:16:56.591Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-11T21:16:56.591Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (17386.352 ms) ====== [2025-06-11T21:16:56.591Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-06-11T21:16:56.591Z] GC before operation: completed in 158.382 ms, heap usage 437.085 MB -> 89.544 MB. [2025-06-11T21:16:59.491Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T21:17:02.395Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T21:17:05.306Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T21:17:07.527Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T21:17:09.197Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T21:17:10.322Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T21:17:12.536Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T21:17:13.666Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T21:17:13.987Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-11T21:17:13.987Z] The best model improves the baseline by 14.34%. [2025-06-11T21:17:14.309Z] Top recommended movies for user id 72: [2025-06-11T21:17:14.309Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-11T21:17:14.309Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-11T21:17:14.309Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-11T21:17:14.309Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-11T21:17:14.309Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-11T21:17:14.309Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (17471.738 ms) ====== [2025-06-11T21:17:14.309Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-06-11T21:17:14.309Z] GC before operation: completed in 164.389 ms, heap usage 405.745 MB -> 89.575 MB. [2025-06-11T21:17:17.289Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T21:17:19.502Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T21:17:22.424Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T21:17:25.355Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T21:17:26.977Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T21:17:28.102Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T21:17:30.318Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T21:17:31.470Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T21:17:31.796Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-11T21:17:31.796Z] The best model improves the baseline by 14.34%. [2025-06-11T21:17:32.116Z] Top recommended movies for user id 72: [2025-06-11T21:17:32.116Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-11T21:17:32.116Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-11T21:17:32.116Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-11T21:17:32.116Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-11T21:17:32.116Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-11T21:17:32.117Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (17713.759 ms) ====== [2025-06-11T21:17:32.117Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-06-11T21:17:32.117Z] GC before operation: completed in 157.870 ms, heap usage 179.608 MB -> 89.023 MB. [2025-06-11T21:17:35.029Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T21:17:37.238Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T21:17:40.145Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T21:17:43.081Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T21:17:44.225Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T21:17:45.855Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T21:17:47.505Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T21:17:49.127Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T21:17:49.446Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-11T21:17:49.446Z] The best model improves the baseline by 14.34%. [2025-06-11T21:17:49.446Z] Top recommended movies for user id 72: [2025-06-11T21:17:49.446Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-11T21:17:49.446Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-11T21:17:49.446Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-11T21:17:49.446Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-11T21:17:49.446Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-11T21:17:49.446Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (17363.358 ms) ====== [2025-06-11T21:17:49.446Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-06-11T21:17:49.767Z] GC before operation: completed in 163.398 ms, heap usage 406.367 MB -> 89.579 MB. [2025-06-11T21:17:52.669Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T21:17:54.883Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T21:17:57.793Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T21:18:00.069Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T21:18:01.699Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T21:18:03.334Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T21:18:04.975Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T21:18:06.616Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T21:18:06.945Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-11T21:18:06.945Z] The best model improves the baseline by 14.34%. [2025-06-11T21:18:06.945Z] Top recommended movies for user id 72: [2025-06-11T21:18:06.945Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-11T21:18:06.945Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-11T21:18:06.945Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-11T21:18:06.945Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-11T21:18:06.945Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-11T21:18:06.945Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (17288.779 ms) ====== [2025-06-11T21:18:07.719Z] ----------------------------------- [2025-06-11T21:18:07.719Z] renaissance-movie-lens_0_PASSED [2025-06-11T21:18:07.719Z] ----------------------------------- [2025-06-11T21:18:07.719Z] [2025-06-11T21:18:07.719Z] TEST TEARDOWN: [2025-06-11T21:18:07.719Z] Nothing to be done for teardown. [2025-06-11T21:18:07.719Z] renaissance-movie-lens_0 Finish Time: Wed Jun 11 21:18:07 2025 Epoch Time (ms): 1749676687311