[2025-05-16T22:11:34.519Z] Running test renaissance-movie-lens_0 ... [2025-05-16T22:11:34.519Z] =============================================== [2025-05-16T22:11:34.519Z] renaissance-movie-lens_0 Start Time: Fri May 16 22:11:34 2025 Epoch Time (ms): 1747433494249 [2025-05-16T22:11:34.519Z] variation: NoOptions [2025-05-16T22:11:34.519Z] JVM_OPTIONS: [2025-05-16T22:11:34.519Z] { \ [2025-05-16T22:11:34.519Z] echo ""; echo "TEST SETUP:"; \ [2025-05-16T22:11:34.519Z] echo "Nothing to be done for setup."; \ [2025-05-16T22:11:34.519Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_1747429417991/renaissance-movie-lens_0"; \ [2025-05-16T22:11:34.520Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_1747429417991/renaissance-movie-lens_0"; \ [2025-05-16T22:11:34.520Z] echo ""; echo "TESTING:"; \ [2025-05-16T22:11:34.520Z] "/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_1747429417991/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-05-16T22:11:34.520Z] 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_1747429417991/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-05-16T22:11:34.520Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-05-16T22:11:34.520Z] echo "Nothing to be done for teardown."; \ [2025-05-16T22:11:34.520Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_1747429417991/TestTargetResult"; [2025-05-16T22:11:34.520Z] [2025-05-16T22:11:34.520Z] TEST SETUP: [2025-05-16T22:11:34.520Z] Nothing to be done for setup. [2025-05-16T22:11:34.520Z] [2025-05-16T22:11:34.520Z] TESTING: [2025-05-16T22:11:51.849Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-05-16T22:12:02.586Z] 22:12:01.158 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2025-05-16T22:12:05.635Z] Got 100004 ratings from 671 users on 9066 movies. [2025-05-16T22:12:05.635Z] Training: 60056, validation: 20285, test: 19854 [2025-05-16T22:12:05.635Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-05-16T22:12:06.295Z] GC before operation: completed in 360.474 ms, heap usage 439.665 MB -> 75.694 MB. [2025-05-16T22:12:44.767Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T22:12:52.725Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T22:13:00.648Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T22:13:07.142Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T22:13:12.167Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T22:13:14.367Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T22:13:17.409Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T22:13:23.268Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T22:13:23.938Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-16T22:13:23.938Z] The best model improves the baseline by 14.34%. [2025-05-16T22:13:24.598Z] Top recommended movies for user id 72: [2025-05-16T22:13:24.598Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-16T22:13:24.598Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-16T22:13:24.598Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-16T22:13:24.598Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-16T22:13:24.598Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-16T22:13:24.598Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (78146.814 ms) ====== [2025-05-16T22:13:24.598Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-05-16T22:13:24.598Z] GC before operation: completed in 417.713 ms, heap usage 261.314 MB -> 97.928 MB. [2025-05-16T22:13:31.018Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T22:13:38.796Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T22:13:45.239Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T22:13:51.860Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T22:13:56.610Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T22:14:01.796Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T22:14:05.815Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T22:14:10.123Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T22:14:10.123Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-16T22:14:10.789Z] The best model improves the baseline by 14.34%. [2025-05-16T22:14:10.789Z] Top recommended movies for user id 72: [2025-05-16T22:14:10.789Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-16T22:14:10.789Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-16T22:14:10.789Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-16T22:14:10.789Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-16T22:14:10.789Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-16T22:14:10.789Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (46123.739 ms) ====== [2025-05-16T22:14:10.789Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-05-16T22:14:11.677Z] GC before operation: completed in 302.875 ms, heap usage 250.946 MB -> 90.096 MB. [2025-05-16T22:14:18.014Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T22:14:26.477Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T22:14:32.865Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T22:14:39.576Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T22:14:42.696Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T22:14:46.979Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T22:14:50.139Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T22:14:52.364Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T22:14:53.132Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-16T22:14:53.132Z] The best model improves the baseline by 14.34%. [2025-05-16T22:14:53.132Z] Top recommended movies for user id 72: [2025-05-16T22:14:53.132Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-16T22:14:53.132Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-16T22:14:53.132Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-16T22:14:53.132Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-16T22:14:53.132Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-16T22:14:53.132Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (42099.491 ms) ====== [2025-05-16T22:14:53.132Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-05-16T22:14:53.861Z] GC before operation: completed in 258.674 ms, heap usage 307.393 MB -> 88.582 MB. [2025-05-16T22:14:59.081Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T22:15:07.228Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T22:15:14.276Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T22:15:19.475Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T22:15:23.486Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T22:15:26.767Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T22:15:32.010Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T22:15:34.263Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T22:15:35.072Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-16T22:15:35.072Z] The best model improves the baseline by 14.34%. [2025-05-16T22:15:35.072Z] Top recommended movies for user id 72: [2025-05-16T22:15:35.072Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-16T22:15:35.072Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-16T22:15:35.072Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-16T22:15:35.072Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-16T22:15:35.072Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-16T22:15:35.072Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (41589.744 ms) ====== [2025-05-16T22:15:35.072Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-05-16T22:15:37.150Z] GC before operation: completed in 1620.532 ms, heap usage 199.776 MB -> 88.666 MB. [2025-05-16T22:15:41.170Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T22:15:55.543Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T22:16:03.355Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T22:16:06.867Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T22:16:09.799Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T22:16:12.734Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T22:16:15.779Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T22:16:18.969Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T22:16:19.648Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-16T22:16:19.648Z] The best model improves the baseline by 14.34%. [2025-05-16T22:16:20.349Z] Top recommended movies for user id 72: [2025-05-16T22:16:20.349Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-16T22:16:20.349Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-16T22:16:20.349Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-16T22:16:20.349Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-16T22:16:20.349Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-16T22:16:20.349Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (43172.767 ms) ====== [2025-05-16T22:16:20.349Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-05-16T22:16:20.349Z] GC before operation: completed in 284.182 ms, heap usage 117.675 MB -> 88.499 MB. [2025-05-16T22:16:28.122Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T22:16:37.869Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T22:16:47.155Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T22:16:52.426Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T22:16:58.495Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T22:17:00.750Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T22:17:03.796Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T22:17:06.950Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T22:17:06.950Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-16T22:17:06.950Z] The best model improves the baseline by 14.34%. [2025-05-16T22:17:06.950Z] Top recommended movies for user id 72: [2025-05-16T22:17:06.950Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-16T22:17:06.950Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-16T22:17:06.950Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-16T22:17:06.950Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-16T22:17:06.950Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-16T22:17:06.950Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (46858.110 ms) ====== [2025-05-16T22:17:06.950Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-05-16T22:17:07.580Z] GC before operation: completed in 270.569 ms, heap usage 226.430 MB -> 89.082 MB. [2025-05-16T22:17:14.050Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T22:17:20.433Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T22:17:25.599Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T22:17:33.385Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T22:17:37.901Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T22:17:43.057Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T22:17:47.776Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T22:17:52.386Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T22:17:53.068Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-16T22:17:53.068Z] The best model improves the baseline by 14.34%. [2025-05-16T22:17:53.068Z] Top recommended movies for user id 72: [2025-05-16T22:17:53.068Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-16T22:17:53.068Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-16T22:17:53.068Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-16T22:17:53.068Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-16T22:17:53.068Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-16T22:17:53.068Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (45782.941 ms) ====== [2025-05-16T22:17:53.068Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-05-16T22:17:53.780Z] GC before operation: completed in 335.316 ms, heap usage 118.936 MB -> 89.101 MB. [2025-05-16T22:17:59.000Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T22:18:06.914Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T22:18:16.633Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T22:18:26.038Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T22:18:29.251Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T22:18:33.332Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T22:18:38.525Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T22:18:43.704Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T22:18:44.408Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-16T22:18:44.408Z] The best model improves the baseline by 14.34%. [2025-05-16T22:18:44.408Z] Top recommended movies for user id 72: [2025-05-16T22:18:44.408Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-16T22:18:44.408Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-16T22:18:44.408Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-16T22:18:44.408Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-16T22:18:44.408Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-16T22:18:44.408Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (51195.835 ms) ====== [2025-05-16T22:18:44.408Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-05-16T22:18:45.071Z] GC before operation: completed in 356.866 ms, heap usage 229.108 MB -> 89.281 MB. [2025-05-16T22:18:50.254Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T22:18:57.100Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T22:19:03.449Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T22:19:08.433Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T22:19:11.517Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T22:19:14.518Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T22:19:18.686Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T22:19:21.800Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T22:19:21.800Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-16T22:19:23.746Z] The best model improves the baseline by 14.34%. [2025-05-16T22:19:23.746Z] Top recommended movies for user id 72: [2025-05-16T22:19:23.746Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-16T22:19:23.746Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-16T22:19:23.746Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-16T22:19:23.746Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-16T22:19:23.746Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-16T22:19:23.746Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (38474.581 ms) ====== [2025-05-16T22:19:23.746Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-05-16T22:19:24.532Z] GC before operation: completed in 1172.699 ms, heap usage 240.315 MB -> 91.332 MB. [2025-05-16T22:19:31.344Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T22:19:37.928Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T22:19:49.666Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T22:19:54.696Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T22:19:57.949Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T22:20:00.341Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T22:20:03.430Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T22:20:06.467Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T22:20:06.467Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-16T22:20:06.467Z] The best model improves the baseline by 14.34%. [2025-05-16T22:20:07.124Z] Top recommended movies for user id 72: [2025-05-16T22:20:07.124Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-16T22:20:07.124Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-16T22:20:07.124Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-16T22:20:07.124Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-16T22:20:07.124Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-16T22:20:07.124Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (42231.601 ms) ====== [2025-05-16T22:20:07.124Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-05-16T22:20:07.124Z] GC before operation: completed in 238.309 ms, heap usage 246.837 MB -> 89.370 MB. [2025-05-16T22:20:12.209Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T22:20:17.922Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T22:20:24.258Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T22:20:30.470Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T22:20:34.558Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T22:20:37.577Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T22:20:40.570Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T22:20:44.897Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T22:20:46.848Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-16T22:20:46.848Z] The best model improves the baseline by 14.34%. [2025-05-16T22:20:48.592Z] Top recommended movies for user id 72: [2025-05-16T22:20:48.592Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-16T22:20:48.592Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-16T22:20:48.592Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-16T22:20:48.592Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-16T22:20:48.592Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-16T22:20:48.592Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (40765.715 ms) ====== [2025-05-16T22:20:48.592Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-05-16T22:20:48.592Z] GC before operation: completed in 951.316 ms, heap usage 417.851 MB -> 91.598 MB. [2025-05-16T22:20:56.605Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T22:21:05.243Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T22:21:16.369Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T22:21:23.276Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T22:21:26.317Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T22:21:32.776Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T22:21:42.209Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T22:21:46.477Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T22:21:47.995Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-16T22:21:48.854Z] The best model improves the baseline by 14.34%. [2025-05-16T22:21:49.694Z] Top recommended movies for user id 72: [2025-05-16T22:21:49.694Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-16T22:21:49.694Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-16T22:21:49.694Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-16T22:21:49.694Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-16T22:21:49.694Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-16T22:21:49.694Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (61003.595 ms) ====== [2025-05-16T22:21:49.694Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-05-16T22:21:50.437Z] GC before operation: completed in 278.310 ms, heap usage 165.827 MB -> 89.259 MB. [2025-05-16T22:21:55.609Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T22:22:00.863Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T22:22:07.317Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T22:22:12.852Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T22:22:17.552Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T22:22:24.256Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T22:22:31.688Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T22:22:35.011Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T22:22:36.468Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-16T22:22:36.468Z] The best model improves the baseline by 14.34%. [2025-05-16T22:22:36.468Z] Top recommended movies for user id 72: [2025-05-16T22:22:36.468Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-16T22:22:36.468Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-16T22:22:36.468Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-16T22:22:36.468Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-16T22:22:36.468Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-16T22:22:36.468Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (46188.771 ms) ====== [2025-05-16T22:22:36.468Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-05-16T22:22:36.468Z] GC before operation: completed in 231.661 ms, heap usage 193.218 MB -> 89.349 MB. [2025-05-16T22:22:42.889Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T22:22:49.373Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T22:22:59.757Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T22:23:04.999Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T22:23:09.310Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T22:23:12.426Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T22:23:16.663Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T22:23:21.126Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T22:23:21.826Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-16T22:23:22.506Z] The best model improves the baseline by 14.34%. [2025-05-16T22:23:22.506Z] Top recommended movies for user id 72: [2025-05-16T22:23:22.506Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-16T22:23:22.506Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-16T22:23:22.506Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-16T22:23:22.506Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-16T22:23:22.506Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-16T22:23:22.506Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (45811.569 ms) ====== [2025-05-16T22:23:22.506Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-05-16T22:23:22.506Z] GC before operation: completed in 361.293 ms, heap usage 214.433 MB -> 89.181 MB. [2025-05-16T22:23:30.642Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T22:23:35.794Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T22:23:44.008Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T22:23:50.711Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T22:23:54.837Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T22:23:57.896Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T22:24:04.398Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T22:24:07.419Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T22:24:09.047Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-16T22:24:09.047Z] The best model improves the baseline by 14.34%. [2025-05-16T22:24:09.047Z] Top recommended movies for user id 72: [2025-05-16T22:24:09.047Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-16T22:24:09.047Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-16T22:24:09.047Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-16T22:24:09.047Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-16T22:24:09.047Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-16T22:24:09.047Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (46407.213 ms) ====== [2025-05-16T22:24:09.047Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-05-16T22:24:09.858Z] GC before operation: completed in 472.476 ms, heap usage 166.997 MB -> 91.634 MB. [2025-05-16T22:24:19.938Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T22:24:26.408Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T22:24:31.937Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T22:24:38.345Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T22:24:41.447Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T22:24:48.517Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T22:24:49.986Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T22:24:55.601Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T22:24:56.267Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-16T22:24:56.267Z] The best model improves the baseline by 14.34%. [2025-05-16T22:24:57.087Z] Top recommended movies for user id 72: [2025-05-16T22:24:57.088Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-16T22:24:57.088Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-16T22:24:57.088Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-16T22:24:57.088Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-16T22:24:57.088Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-16T22:24:57.088Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (47001.234 ms) ====== [2025-05-16T22:24:57.088Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-05-16T22:24:57.088Z] GC before operation: completed in 277.394 ms, heap usage 429.711 MB -> 89.682 MB. [2025-05-16T22:25:06.746Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T22:25:14.595Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T22:25:20.915Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T22:25:29.542Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T22:25:33.911Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T22:25:39.130Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T22:25:43.678Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T22:25:48.141Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T22:25:48.141Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-16T22:25:48.141Z] The best model improves the baseline by 14.34%. [2025-05-16T22:25:48.883Z] Top recommended movies for user id 72: [2025-05-16T22:25:48.883Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-16T22:25:48.883Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-16T22:25:48.883Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-16T22:25:48.883Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-16T22:25:48.883Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-16T22:25:48.883Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (51593.910 ms) ====== [2025-05-16T22:25:48.883Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-05-16T22:25:48.883Z] GC before operation: completed in 291.951 ms, heap usage 241.603 MB -> 91.749 MB. [2025-05-16T22:25:55.483Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T22:26:04.031Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T22:26:11.031Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T22:26:16.214Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T22:26:24.749Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T22:26:27.913Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T22:26:33.323Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T22:26:36.576Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T22:26:36.576Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-16T22:26:36.576Z] The best model improves the baseline by 14.34%. [2025-05-16T22:26:36.576Z] Top recommended movies for user id 72: [2025-05-16T22:26:36.576Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-16T22:26:36.576Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-16T22:26:36.576Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-16T22:26:36.576Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-16T22:26:36.576Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-16T22:26:36.576Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (47843.157 ms) ====== [2025-05-16T22:26:36.576Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-05-16T22:26:37.340Z] GC before operation: completed in 284.134 ms, heap usage 412.369 MB -> 89.588 MB. [2025-05-16T22:26:47.598Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T22:26:52.616Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T22:27:00.277Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T22:27:04.771Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T22:27:08.811Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T22:27:12.906Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T22:27:15.955Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T22:27:19.089Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T22:27:19.822Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-16T22:27:19.822Z] The best model improves the baseline by 14.34%. [2025-05-16T22:27:20.492Z] Top recommended movies for user id 72: [2025-05-16T22:27:20.492Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-16T22:27:20.492Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-16T22:27:20.492Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-16T22:27:20.492Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-16T22:27:20.492Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-16T22:27:20.492Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (43339.179 ms) ====== [2025-05-16T22:27:20.492Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-05-16T22:27:20.492Z] GC before operation: completed in 209.124 ms, heap usage 218.876 MB -> 85.824 MB. [2025-05-16T22:27:25.568Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T22:27:30.805Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T22:27:37.616Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T22:27:42.906Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T22:27:47.119Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T22:27:50.477Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T22:27:55.748Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T22:27:58.926Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T22:27:58.926Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-16T22:27:59.627Z] The best model improves the baseline by 14.34%. [2025-05-16T22:27:59.627Z] Top recommended movies for user id 72: [2025-05-16T22:27:59.627Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-16T22:27:59.627Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-16T22:27:59.627Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-16T22:27:59.627Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-16T22:27:59.627Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-16T22:27:59.627Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (39142.222 ms) ====== [2025-05-16T22:28:00.310Z] ----------------------------------- [2025-05-16T22:28:00.311Z] renaissance-movie-lens_0_PASSED [2025-05-16T22:28:00.311Z] ----------------------------------- [2025-05-16T22:28:00.311Z] [2025-05-16T22:28:00.311Z] TEST TEARDOWN: [2025-05-16T22:28:00.311Z] Nothing to be done for teardown. [2025-05-16T22:28:00.311Z] renaissance-movie-lens_0 Finish Time: Fri May 16 22:27:59 2025 Epoch Time (ms): 1747434479966