[2025-06-19T06:38:57.668Z] Running test renaissance-movie-lens_0 ... [2025-06-19T06:38:57.668Z] =============================================== [2025-06-19T06:38:57.668Z] renaissance-movie-lens_0 Start Time: Thu Jun 19 06:38:57 2025 Epoch Time (ms): 1750315137141 [2025-06-19T06:38:57.668Z] variation: NoOptions [2025-06-19T06:38:57.668Z] JVM_OPTIONS: [2025-06-19T06:38:57.668Z] { \ [2025-06-19T06:38:57.668Z] echo ""; echo "TEST SETUP:"; \ [2025-06-19T06:38:57.668Z] echo "Nothing to be done for setup."; \ [2025-06-19T06:38:57.668Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_1750311549623/renaissance-movie-lens_0"; \ [2025-06-19T06:38:57.668Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_1750311549623/renaissance-movie-lens_0"; \ [2025-06-19T06:38:57.668Z] echo ""; echo "TESTING:"; \ [2025-06-19T06:38:57.668Z] "/home/jenkins/workspace/Test_openjdk11_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_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_1750311549623/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-06-19T06:38:57.668Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_1750311549623/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-06-19T06:38:57.668Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-06-19T06:38:57.668Z] echo "Nothing to be done for teardown."; \ [2025-06-19T06:38:57.668Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_1750311549623/TestTargetResult"; [2025-06-19T06:38:57.668Z] [2025-06-19T06:38:57.668Z] TEST SETUP: [2025-06-19T06:38:57.668Z] Nothing to be done for setup. [2025-06-19T06:38:57.668Z] [2025-06-19T06:38:57.668Z] TESTING: [2025-06-19T06:39:04.866Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-06-19T06:39:15.588Z] 06:39:14.113 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. [2025-06-19T06:39:18.512Z] Got 100004 ratings from 671 users on 9066 movies. [2025-06-19T06:39:20.141Z] Training: 60056, validation: 20285, test: 19854 [2025-06-19T06:39:20.141Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-06-19T06:39:20.141Z] GC before operation: completed in 191.471 ms, heap usage 194.244 MB -> 74.173 MB. [2025-06-19T06:39:30.957Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T06:39:38.169Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T06:39:45.363Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T06:39:51.212Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T06:39:54.936Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T06:39:58.659Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T06:40:01.585Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T06:40:04.526Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T06:40:04.847Z] 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. [2025-06-19T06:40:05.172Z] The best model improves the baseline by 14.34%. [2025-06-19T06:40:05.493Z] Top recommended movies for user id 72: [2025-06-19T06:40:05.493Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T06:40:05.493Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T06:40:05.493Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T06:40:05.493Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T06:40:05.493Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T06:40:05.493Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (45248.789 ms) ====== [2025-06-19T06:40:05.493Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-06-19T06:40:05.814Z] GC before operation: completed in 343.036 ms, heap usage 321.047 MB -> 84.840 MB. [2025-06-19T06:40:11.652Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T06:40:17.492Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T06:40:22.233Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T06:40:26.923Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T06:40:29.905Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T06:40:32.819Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T06:40:35.739Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T06:40:39.469Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T06:40:39.469Z] 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. [2025-06-19T06:40:39.469Z] The best model improves the baseline by 14.34%. [2025-06-19T06:40:39.469Z] Top recommended movies for user id 72: [2025-06-19T06:40:39.469Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T06:40:39.469Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T06:40:39.469Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T06:40:39.469Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T06:40:39.469Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T06:40:39.469Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (33809.874 ms) ====== [2025-06-19T06:40:39.469Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-06-19T06:40:39.791Z] GC before operation: completed in 210.954 ms, heap usage 111.733 MB -> 86.283 MB. [2025-06-19T06:40:44.522Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T06:40:49.212Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T06:40:53.010Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T06:40:56.741Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T06:40:59.657Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T06:41:01.873Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T06:41:04.811Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T06:41:07.031Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T06:41:07.353Z] 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. [2025-06-19T06:41:07.674Z] The best model improves the baseline by 14.34%. [2025-06-19T06:41:07.674Z] Top recommended movies for user id 72: [2025-06-19T06:41:07.674Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T06:41:07.674Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T06:41:07.674Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T06:41:07.674Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T06:41:07.674Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T06:41:07.674Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (27976.640 ms) ====== [2025-06-19T06:41:07.674Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-06-19T06:41:07.997Z] GC before operation: completed in 212.501 ms, heap usage 297.615 MB -> 87.119 MB. [2025-06-19T06:41:12.685Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T06:41:17.376Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T06:41:23.298Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T06:41:27.031Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T06:41:29.941Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T06:41:32.853Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T06:41:35.764Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T06:41:37.984Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T06:41:38.677Z] 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. [2025-06-19T06:41:38.677Z] The best model improves the baseline by 14.34%. [2025-06-19T06:41:39.003Z] Top recommended movies for user id 72: [2025-06-19T06:41:39.003Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T06:41:39.003Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T06:41:39.003Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T06:41:39.003Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T06:41:39.003Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T06:41:39.003Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (30946.884 ms) ====== [2025-06-19T06:41:39.003Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-06-19T06:41:39.003Z] GC before operation: completed in 217.426 ms, heap usage 166.496 MB -> 87.249 MB. [2025-06-19T06:41:43.696Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T06:41:48.391Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T06:41:53.169Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T06:41:56.902Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T06:41:59.812Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T06:42:02.730Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T06:42:05.640Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T06:42:08.554Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T06:42:08.554Z] 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. [2025-06-19T06:42:08.554Z] The best model improves the baseline by 14.34%. [2025-06-19T06:42:08.875Z] Top recommended movies for user id 72: [2025-06-19T06:42:08.875Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T06:42:08.875Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T06:42:08.875Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T06:42:08.875Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T06:42:08.875Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T06:42:08.875Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (29813.288 ms) ====== [2025-06-19T06:42:08.876Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-06-19T06:42:09.197Z] GC before operation: completed in 235.101 ms, heap usage 196.977 MB -> 87.204 MB. [2025-06-19T06:42:12.995Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T06:42:17.770Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T06:42:21.497Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T06:42:25.229Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T06:42:27.452Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T06:42:29.666Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T06:42:32.577Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T06:42:34.795Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T06:42:34.795Z] 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. [2025-06-19T06:42:35.115Z] The best model improves the baseline by 14.34%. [2025-06-19T06:42:35.115Z] Top recommended movies for user id 72: [2025-06-19T06:42:35.115Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T06:42:35.115Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T06:42:35.116Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T06:42:35.116Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T06:42:35.116Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T06:42:35.116Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (25937.847 ms) ====== [2025-06-19T06:42:35.116Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-06-19T06:42:35.436Z] GC before operation: completed in 210.240 ms, heap usage 368.034 MB -> 87.887 MB. [2025-06-19T06:42:40.135Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T06:42:44.907Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T06:42:50.744Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T06:42:54.477Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T06:42:58.206Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T06:43:01.115Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T06:43:04.021Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T06:43:06.949Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T06:43:07.338Z] 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. [2025-06-19T06:43:07.338Z] The best model improves the baseline by 14.34%. [2025-06-19T06:43:07.670Z] Top recommended movies for user id 72: [2025-06-19T06:43:07.670Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T06:43:07.670Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T06:43:07.670Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T06:43:07.670Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T06:43:07.670Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T06:43:07.670Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (32448.596 ms) ====== [2025-06-19T06:43:07.670Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-06-19T06:43:07.992Z] GC before operation: completed in 224.866 ms, heap usage 166.737 MB -> 87.465 MB. [2025-06-19T06:43:12.682Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T06:43:17.376Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T06:43:22.070Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T06:43:26.764Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T06:43:29.678Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T06:43:32.586Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T06:43:35.569Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T06:43:37.790Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T06:43:38.112Z] 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. [2025-06-19T06:43:38.112Z] The best model improves the baseline by 14.34%. [2025-06-19T06:43:38.432Z] Top recommended movies for user id 72: [2025-06-19T06:43:38.432Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T06:43:38.432Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T06:43:38.432Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T06:43:38.432Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T06:43:38.432Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T06:43:38.432Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (30375.530 ms) ====== [2025-06-19T06:43:38.432Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-06-19T06:43:38.755Z] GC before operation: completed in 202.289 ms, heap usage 161.146 MB -> 87.691 MB. [2025-06-19T06:43:43.449Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T06:43:48.146Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T06:43:52.837Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T06:43:57.564Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T06:43:59.781Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T06:44:02.718Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T06:44:05.622Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T06:44:08.533Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T06:44:08.854Z] 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. [2025-06-19T06:44:08.854Z] The best model improves the baseline by 14.34%. [2025-06-19T06:44:09.177Z] Top recommended movies for user id 72: [2025-06-19T06:44:09.177Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T06:44:09.177Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T06:44:09.177Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T06:44:09.177Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T06:44:09.177Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T06:44:09.177Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (30657.743 ms) ====== [2025-06-19T06:44:09.177Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-06-19T06:44:09.499Z] GC before operation: completed in 209.092 ms, heap usage 211.397 MB -> 87.620 MB. [2025-06-19T06:44:14.189Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T06:44:17.960Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T06:44:21.687Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T06:44:24.599Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T06:44:27.588Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T06:44:29.215Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T06:44:31.432Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T06:44:33.649Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T06:44:34.345Z] 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. [2025-06-19T06:44:34.345Z] The best model improves the baseline by 14.34%. [2025-06-19T06:44:34.345Z] Top recommended movies for user id 72: [2025-06-19T06:44:34.345Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T06:44:34.345Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T06:44:34.345Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T06:44:34.345Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T06:44:34.345Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T06:44:34.345Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (24931.138 ms) ====== [2025-06-19T06:44:34.345Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-06-19T06:44:34.666Z] GC before operation: completed in 214.254 ms, heap usage 417.194 MB -> 88.204 MB. [2025-06-19T06:44:39.360Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T06:44:44.050Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T06:44:48.732Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T06:44:53.428Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T06:44:55.652Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T06:44:58.559Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T06:45:01.473Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T06:45:04.382Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T06:45:04.382Z] 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. [2025-06-19T06:45:04.382Z] The best model improves the baseline by 14.34%. [2025-06-19T06:45:04.725Z] Top recommended movies for user id 72: [2025-06-19T06:45:04.725Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T06:45:04.725Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T06:45:04.725Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T06:45:04.725Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T06:45:04.725Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T06:45:04.726Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (30077.117 ms) ====== [2025-06-19T06:45:04.726Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-06-19T06:45:05.046Z] GC before operation: completed in 205.531 ms, heap usage 210.822 MB -> 87.576 MB. [2025-06-19T06:45:09.737Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T06:45:12.649Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T06:45:17.336Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T06:45:20.353Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T06:45:22.577Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T06:45:24.796Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T06:45:27.012Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T06:45:29.231Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T06:45:29.922Z] 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. [2025-06-19T06:45:29.922Z] The best model improves the baseline by 14.34%. [2025-06-19T06:45:29.922Z] Top recommended movies for user id 72: [2025-06-19T06:45:29.922Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T06:45:29.922Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T06:45:29.922Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T06:45:29.922Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T06:45:29.922Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T06:45:29.922Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (25059.018 ms) ====== [2025-06-19T06:45:29.922Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-06-19T06:45:30.243Z] GC before operation: completed in 208.294 ms, heap usage 117.870 MB -> 87.615 MB. [2025-06-19T06:45:34.948Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T06:45:39.640Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T06:45:44.333Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T06:45:48.143Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T06:45:51.059Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T06:45:53.973Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T06:45:56.883Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T06:45:59.797Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T06:46:00.117Z] 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. [2025-06-19T06:46:00.117Z] The best model improves the baseline by 14.34%. [2025-06-19T06:46:00.117Z] Top recommended movies for user id 72: [2025-06-19T06:46:00.117Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T06:46:00.117Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T06:46:00.117Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T06:46:00.117Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T06:46:00.117Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T06:46:00.117Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (30042.832 ms) ====== [2025-06-19T06:46:00.117Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-06-19T06:46:00.438Z] GC before operation: completed in 213.844 ms, heap usage 292.255 MB -> 87.976 MB. [2025-06-19T06:46:05.134Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T06:46:08.862Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T06:46:12.620Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T06:46:15.537Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T06:46:17.752Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T06:46:19.968Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T06:46:22.188Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T06:46:24.406Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T06:46:24.727Z] 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. [2025-06-19T06:46:24.727Z] The best model improves the baseline by 14.34%. [2025-06-19T06:46:25.049Z] Top recommended movies for user id 72: [2025-06-19T06:46:25.049Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T06:46:25.049Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T06:46:25.049Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T06:46:25.049Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T06:46:25.049Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T06:46:25.049Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (24591.408 ms) ====== [2025-06-19T06:46:25.049Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-06-19T06:46:25.371Z] GC before operation: completed in 210.544 ms, heap usage 276.934 MB -> 87.831 MB. [2025-06-19T06:46:30.184Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T06:46:33.923Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T06:46:38.618Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T06:46:42.361Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T06:46:44.580Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T06:46:47.493Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T06:46:49.707Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T06:46:52.621Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T06:46:52.621Z] 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. [2025-06-19T06:46:52.621Z] The best model improves the baseline by 14.34%. [2025-06-19T06:46:52.941Z] Top recommended movies for user id 72: [2025-06-19T06:46:52.941Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T06:46:52.941Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T06:46:52.941Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T06:46:52.941Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T06:46:52.941Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T06:46:52.941Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (27672.242 ms) ====== [2025-06-19T06:46:52.941Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-06-19T06:46:53.260Z] GC before operation: completed in 208.142 ms, heap usage 197.509 MB -> 87.881 MB. [2025-06-19T06:46:57.950Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T06:47:02.660Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T06:47:06.387Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T06:47:10.132Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T06:47:13.046Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T06:47:15.262Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T06:47:18.205Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T06:47:20.475Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T06:47:20.796Z] 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. [2025-06-19T06:47:20.796Z] The best model improves the baseline by 14.34%. [2025-06-19T06:47:21.128Z] Top recommended movies for user id 72: [2025-06-19T06:47:21.128Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T06:47:21.128Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T06:47:21.128Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T06:47:21.128Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T06:47:21.128Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T06:47:21.128Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (28081.926 ms) ====== [2025-06-19T06:47:21.128Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-06-19T06:47:21.449Z] GC before operation: completed in 210.590 ms, heap usage 161.294 MB -> 87.713 MB. [2025-06-19T06:47:26.140Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T06:47:29.867Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T06:47:34.555Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T06:47:38.292Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T06:47:40.511Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T06:47:43.416Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T06:47:45.626Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T06:47:48.568Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T06:47:48.568Z] 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. [2025-06-19T06:47:48.568Z] The best model improves the baseline by 14.34%. [2025-06-19T06:47:48.891Z] Top recommended movies for user id 72: [2025-06-19T06:47:48.891Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T06:47:48.891Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T06:47:48.891Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T06:47:48.891Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T06:47:48.891Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T06:47:48.891Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (27325.239 ms) ====== [2025-06-19T06:47:48.891Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-06-19T06:47:48.891Z] GC before operation: completed in 205.323 ms, heap usage 139.207 MB -> 87.791 MB. [2025-06-19T06:47:53.589Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T06:47:57.317Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T06:48:02.009Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T06:48:05.729Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T06:48:08.636Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T06:48:11.558Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T06:48:13.837Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T06:48:16.771Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T06:48:17.092Z] 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. [2025-06-19T06:48:17.092Z] The best model improves the baseline by 14.34%. [2025-06-19T06:48:17.413Z] Top recommended movies for user id 72: [2025-06-19T06:48:17.413Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T06:48:17.413Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T06:48:17.413Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T06:48:17.413Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T06:48:17.413Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T06:48:17.413Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (28355.044 ms) ====== [2025-06-19T06:48:17.413Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-06-19T06:48:17.413Z] GC before operation: completed in 200.716 ms, heap usage 164.544 MB -> 87.631 MB. [2025-06-19T06:48:22.108Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T06:48:25.835Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T06:48:30.537Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T06:48:34.267Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T06:48:37.176Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T06:48:39.456Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T06:48:42.374Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T06:48:44.587Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T06:48:44.908Z] 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. [2025-06-19T06:48:44.908Z] The best model improves the baseline by 14.34%. [2025-06-19T06:48:45.228Z] Top recommended movies for user id 72: [2025-06-19T06:48:45.228Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T06:48:45.228Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T06:48:45.228Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T06:48:45.228Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T06:48:45.228Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T06:48:45.228Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (27639.593 ms) ====== [2025-06-19T06:48:45.228Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-06-19T06:48:45.228Z] GC before operation: completed in 205.996 ms, heap usage 186.641 MB -> 87.776 MB. [2025-06-19T06:48:49.914Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T06:48:54.602Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T06:48:59.291Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T06:49:03.028Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T06:49:05.954Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T06:49:08.863Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T06:49:12.589Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T06:49:14.812Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T06:49:15.133Z] 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. [2025-06-19T06:49:15.133Z] The best model improves the baseline by 14.34%. [2025-06-19T06:49:15.458Z] Top recommended movies for user id 72: [2025-06-19T06:49:15.458Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T06:49:15.458Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T06:49:15.458Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T06:49:15.458Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T06:49:15.458Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T06:49:15.458Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (30126.118 ms) ====== [2025-06-19T06:49:16.174Z] ----------------------------------- [2025-06-19T06:49:16.174Z] renaissance-movie-lens_0_PASSED [2025-06-19T06:49:16.174Z] ----------------------------------- [2025-06-19T06:49:16.174Z] [2025-06-19T06:49:16.174Z] TEST TEARDOWN: [2025-06-19T06:49:16.174Z] Nothing to be done for teardown. [2025-06-19T06:49:16.174Z] renaissance-movie-lens_0 Finish Time: Thu Jun 19 06:49:15 2025 Epoch Time (ms): 1750315755913