[2025-06-18T20:57:57.110Z] Running test renaissance-movie-lens_0 ... [2025-06-18T20:57:57.110Z] =============================================== [2025-06-18T20:57:57.110Z] renaissance-movie-lens_0 Start Time: Wed Jun 18 20:57:56 2025 Epoch Time (ms): 1750280276433 [2025-06-18T20:57:57.110Z] variation: NoOptions [2025-06-18T20:57:57.110Z] JVM_OPTIONS: [2025-06-18T20:57:57.110Z] { \ [2025-06-18T20:57:57.110Z] echo ""; echo "TEST SETUP:"; \ [2025-06-18T20:57:57.110Z] echo "Nothing to be done for setup."; \ [2025-06-18T20:57:57.110Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17502778884155/renaissance-movie-lens_0"; \ [2025-06-18T20:57:57.110Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17502778884155/renaissance-movie-lens_0"; \ [2025-06-18T20:57:57.110Z] echo ""; echo "TESTING:"; \ [2025-06-18T20:57:57.110Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17502778884155/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-06-18T20:57:57.110Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17502778884155/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-06-18T20:57:57.110Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-06-18T20:57:57.110Z] echo "Nothing to be done for teardown."; \ [2025-06-18T20:57:57.110Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17502778884155/TestTargetResult"; [2025-06-18T20:57:57.110Z] [2025-06-18T20:57:57.110Z] TEST SETUP: [2025-06-18T20:57:57.110Z] Nothing to be done for setup. [2025-06-18T20:57:57.110Z] [2025-06-18T20:57:57.110Z] TESTING: [2025-06-18T20:58:07.917Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-06-18T20:58:15.136Z] 20:58:15.066 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. [2025-06-18T20:58:20.500Z] Got 100004 ratings from 671 users on 9066 movies. [2025-06-18T20:58:20.500Z] Training: 60056, validation: 20285, test: 19854 [2025-06-18T20:58:20.500Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-06-18T20:58:20.500Z] GC before operation: completed in 162.857 ms, heap usage 411.943 MB -> 75.638 MB. [2025-06-18T20:58:31.318Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T20:58:40.151Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T20:58:44.889Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T20:58:49.746Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T20:58:52.141Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T20:58:55.110Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T20:58:57.326Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T20:59:00.302Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T20:59:00.302Z] 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. [2025-06-18T20:59:00.626Z] The best model improves the baseline by 14.34%. [2025-06-18T20:59:00.626Z] Top recommended movies for user id 72: [2025-06-18T20:59:00.626Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-18T20:59:00.626Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-18T20:59:00.626Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-18T20:59:00.626Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-18T20:59:00.626Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-18T20:59:00.626Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (40744.814 ms) ====== [2025-06-18T20:59:00.626Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-06-18T20:59:00.955Z] GC before operation: completed in 169.885 ms, heap usage 348.550 MB -> 89.068 MB. [2025-06-18T20:59:04.706Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T20:59:08.434Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T20:59:12.187Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T20:59:15.117Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T20:59:17.650Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T20:59:19.286Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T20:59:21.530Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T20:59:23.173Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T20:59:23.893Z] 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. [2025-06-18T20:59:23.893Z] The best model improves the baseline by 14.34%. [2025-06-18T20:59:23.893Z] Top recommended movies for user id 72: [2025-06-18T20:59:23.893Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-18T20:59:23.893Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-18T20:59:23.893Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-18T20:59:23.893Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-18T20:59:23.893Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-18T20:59:23.893Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (23043.130 ms) ====== [2025-06-18T20:59:23.893Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-06-18T20:59:24.238Z] GC before operation: completed in 169.655 ms, heap usage 442.202 MB -> 91.260 MB. [2025-06-18T20:59:27.197Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T20:59:30.918Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T20:59:33.821Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T20:59:36.883Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T20:59:38.512Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T20:59:40.850Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T20:59:43.077Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T20:59:44.697Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T20:59:45.018Z] 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. [2025-06-18T20:59:45.018Z] The best model improves the baseline by 14.34%. [2025-06-18T20:59:45.018Z] Top recommended movies for user id 72: [2025-06-18T20:59:45.018Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-18T20:59:45.018Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-18T20:59:45.018Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-18T20:59:45.018Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-18T20:59:45.018Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-18T20:59:45.018Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (21062.244 ms) ====== [2025-06-18T20:59:45.018Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-06-18T20:59:45.343Z] GC before operation: completed in 188.365 ms, heap usage 436.178 MB -> 88.643 MB. [2025-06-18T20:59:48.342Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T20:59:51.251Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T20:59:54.971Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T20:59:57.182Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T20:59:59.397Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:00:01.031Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:00:03.303Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:00:05.033Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:00:05.033Z] 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. [2025-06-18T21:00:05.033Z] The best model improves the baseline by 14.34%. [2025-06-18T21:00:05.354Z] Top recommended movies for user id 72: [2025-06-18T21:00:05.354Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-18T21:00:05.354Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-18T21:00:05.354Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-18T21:00:05.354Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-18T21:00:05.354Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-18T21:00:05.354Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (19978.366 ms) ====== [2025-06-18T21:00:05.354Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-06-18T21:00:05.354Z] GC before operation: completed in 172.849 ms, heap usage 223.371 MB -> 88.564 MB. [2025-06-18T21:00:09.067Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:00:11.971Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:00:14.875Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:00:17.775Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:00:19.413Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:00:21.627Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:00:23.266Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:00:24.913Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:00:25.245Z] 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. [2025-06-18T21:00:25.245Z] The best model improves the baseline by 14.34%. [2025-06-18T21:00:25.245Z] Top recommended movies for user id 72: [2025-06-18T21:00:25.245Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-18T21:00:25.245Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-18T21:00:25.245Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-18T21:00:25.245Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-18T21:00:25.245Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-18T21:00:25.245Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19885.773 ms) ====== [2025-06-18T21:00:25.245Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-06-18T21:00:25.598Z] GC before operation: completed in 184.406 ms, heap usage 236.598 MB -> 88.545 MB. [2025-06-18T21:00:28.772Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:00:31.701Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:00:34.624Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:00:37.575Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:00:39.218Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:00:40.844Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:00:42.467Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:00:44.734Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:00:44.734Z] 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. [2025-06-18T21:00:44.734Z] The best model improves the baseline by 14.34%. [2025-06-18T21:00:45.055Z] Top recommended movies for user id 72: [2025-06-18T21:00:45.055Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-18T21:00:45.055Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-18T21:00:45.055Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-18T21:00:45.055Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-18T21:00:45.055Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-18T21:00:45.055Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19491.865 ms) ====== [2025-06-18T21:00:45.055Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-06-18T21:00:45.377Z] GC before operation: completed in 186.047 ms, heap usage 598.496 MB -> 92.709 MB. [2025-06-18T21:00:48.292Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:00:51.319Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:00:54.228Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:00:57.136Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:00:59.360Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:01:00.982Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:01:03.188Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:01:04.812Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:01:04.812Z] 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. [2025-06-18T21:01:05.131Z] The best model improves the baseline by 14.34%. [2025-06-18T21:01:05.131Z] Top recommended movies for user id 72: [2025-06-18T21:01:05.131Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-18T21:01:05.131Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-18T21:01:05.131Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-18T21:01:05.131Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-18T21:01:05.131Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-18T21:01:05.131Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19894.727 ms) ====== [2025-06-18T21:01:05.131Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-06-18T21:01:05.450Z] GC before operation: completed in 185.439 ms, heap usage 312.576 MB -> 88.929 MB. [2025-06-18T21:01:08.345Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:01:11.328Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:01:14.262Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:01:16.467Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:01:18.087Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:01:19.707Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:01:21.941Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:01:23.568Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:01:23.890Z] 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. [2025-06-18T21:01:23.890Z] The best model improves the baseline by 14.34%. [2025-06-18T21:01:23.890Z] Top recommended movies for user id 72: [2025-06-18T21:01:23.890Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-18T21:01:23.890Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-18T21:01:23.890Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-18T21:01:23.890Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-18T21:01:23.890Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-18T21:01:23.890Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (18605.288 ms) ====== [2025-06-18T21:01:23.890Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-06-18T21:01:24.208Z] GC before operation: completed in 175.097 ms, heap usage 173.432 MB -> 88.930 MB. [2025-06-18T21:01:27.136Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:01:30.031Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:01:32.943Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:01:35.921Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:01:37.543Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:01:39.195Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:01:40.815Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:01:42.434Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:01:42.753Z] 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. [2025-06-18T21:01:42.753Z] The best model improves the baseline by 14.34%. [2025-06-18T21:01:43.076Z] Top recommended movies for user id 72: [2025-06-18T21:01:43.076Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-18T21:01:43.076Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-18T21:01:43.076Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-18T21:01:43.076Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-18T21:01:43.076Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-18T21:01:43.076Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (18917.033 ms) ====== [2025-06-18T21:01:43.076Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-06-18T21:01:43.076Z] GC before operation: completed in 175.354 ms, heap usage 250.049 MB -> 88.965 MB. [2025-06-18T21:01:45.982Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:01:48.887Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:01:51.820Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:01:54.768Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:01:56.396Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:01:58.017Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:01:59.641Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:02:01.261Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:02:01.581Z] 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. [2025-06-18T21:02:01.581Z] The best model improves the baseline by 14.34%. [2025-06-18T21:02:01.581Z] Top recommended movies for user id 72: [2025-06-18T21:02:01.581Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-18T21:02:01.581Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-18T21:02:01.581Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-18T21:02:01.581Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-18T21:02:01.581Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-18T21:02:01.581Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (18464.632 ms) ====== [2025-06-18T21:02:01.581Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-06-18T21:02:01.902Z] GC before operation: completed in 181.981 ms, heap usage 398.142 MB -> 89.411 MB. [2025-06-18T21:02:04.808Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:02:07.708Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:02:10.639Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:02:13.542Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:02:15.163Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:02:16.789Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:02:19.100Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:02:20.226Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:02:20.545Z] 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. [2025-06-18T21:02:20.545Z] The best model improves the baseline by 14.34%. [2025-06-18T21:02:20.865Z] Top recommended movies for user id 72: [2025-06-18T21:02:20.865Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-18T21:02:20.865Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-18T21:02:20.865Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-18T21:02:20.865Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-18T21:02:20.865Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-18T21:02:20.865Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19010.590 ms) ====== [2025-06-18T21:02:20.865Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-06-18T21:02:21.195Z] GC before operation: completed in 180.837 ms, heap usage 356.000 MB -> 89.089 MB. [2025-06-18T21:02:24.134Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:02:27.034Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:02:29.959Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:02:32.175Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:02:33.796Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:02:35.428Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:02:37.059Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:02:38.792Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:02:39.140Z] 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. [2025-06-18T21:02:39.140Z] The best model improves the baseline by 14.34%. [2025-06-18T21:02:39.468Z] Top recommended movies for user id 72: [2025-06-18T21:02:39.468Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-18T21:02:39.468Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-18T21:02:39.468Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-18T21:02:39.468Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-18T21:02:39.468Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-18T21:02:39.468Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18267.193 ms) ====== [2025-06-18T21:02:39.468Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-06-18T21:02:39.468Z] GC before operation: completed in 172.654 ms, heap usage 179.958 MB -> 88.897 MB. [2025-06-18T21:02:42.445Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:02:45.489Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:02:48.405Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:02:50.617Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:02:52.254Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:02:53.884Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:02:55.507Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:02:57.719Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:02:57.719Z] 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. [2025-06-18T21:02:57.719Z] The best model improves the baseline by 14.34%. [2025-06-18T21:02:57.719Z] Top recommended movies for user id 72: [2025-06-18T21:02:57.719Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-18T21:02:57.719Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-18T21:02:57.719Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-18T21:02:57.719Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-18T21:02:57.719Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-18T21:02:57.719Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (18341.323 ms) ====== [2025-06-18T21:02:57.719Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-06-18T21:02:58.041Z] GC before operation: completed in 172.216 ms, heap usage 140.286 MB -> 89.008 MB. [2025-06-18T21:03:01.104Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:03:03.389Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:03:06.345Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:03:09.286Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:03:10.909Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:03:12.551Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:03:14.185Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:03:15.811Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:03:16.132Z] 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. [2025-06-18T21:03:16.132Z] The best model improves the baseline by 14.34%. [2025-06-18T21:03:16.132Z] Top recommended movies for user id 72: [2025-06-18T21:03:16.132Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-18T21:03:16.132Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-18T21:03:16.132Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-18T21:03:16.132Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-18T21:03:16.132Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-18T21:03:16.132Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (18268.259 ms) ====== [2025-06-18T21:03:16.132Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-06-18T21:03:16.452Z] GC before operation: completed in 177.971 ms, heap usage 204.575 MB -> 88.927 MB. [2025-06-18T21:03:19.386Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:03:22.304Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:03:24.612Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:03:27.579Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:03:29.197Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:03:30.319Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:03:32.546Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:03:33.673Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:03:33.995Z] 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. [2025-06-18T21:03:33.995Z] The best model improves the baseline by 14.34%. [2025-06-18T21:03:34.318Z] Top recommended movies for user id 72: [2025-06-18T21:03:34.318Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-18T21:03:34.318Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-18T21:03:34.318Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-18T21:03:34.318Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-18T21:03:34.318Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-18T21:03:34.318Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (17777.045 ms) ====== [2025-06-18T21:03:34.318Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-06-18T21:03:34.318Z] GC before operation: completed in 177.551 ms, heap usage 620.760 MB -> 93.091 MB. [2025-06-18T21:03:37.233Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:03:40.141Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:03:43.045Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:03:45.286Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:03:46.920Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:03:48.547Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:03:50.165Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:03:51.786Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:03:52.108Z] 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. [2025-06-18T21:03:52.108Z] The best model improves the baseline by 14.34%. [2025-06-18T21:03:52.108Z] Top recommended movies for user id 72: [2025-06-18T21:03:52.108Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-18T21:03:52.108Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-18T21:03:52.108Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-18T21:03:52.108Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-18T21:03:52.108Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-18T21:03:52.108Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (17856.365 ms) ====== [2025-06-18T21:03:52.108Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-06-18T21:03:52.430Z] GC before operation: completed in 175.520 ms, heap usage 415.324 MB -> 89.382 MB. [2025-06-18T21:03:55.385Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:03:58.304Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:04:00.521Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:04:03.428Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:04:05.064Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:04:06.753Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:04:08.379Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:04:09.995Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:04:09.995Z] 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. [2025-06-18T21:04:09.995Z] The best model improves the baseline by 14.34%. [2025-06-18T21:04:10.320Z] Top recommended movies for user id 72: [2025-06-18T21:04:10.320Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-18T21:04:10.320Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-18T21:04:10.320Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-18T21:04:10.320Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-18T21:04:10.320Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-18T21:04:10.320Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (17793.518 ms) ====== [2025-06-18T21:04:10.320Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-06-18T21:04:10.320Z] GC before operation: completed in 172.568 ms, heap usage 411.033 MB -> 89.499 MB. [2025-06-18T21:04:13.227Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:04:16.129Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:04:19.026Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:04:21.239Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:04:22.858Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:04:25.081Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:04:26.705Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:04:28.420Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:04:28.420Z] 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. [2025-06-18T21:04:28.420Z] The best model improves the baseline by 14.34%. [2025-06-18T21:04:28.743Z] Top recommended movies for user id 72: [2025-06-18T21:04:28.743Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-18T21:04:28.743Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-18T21:04:28.743Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-18T21:04:28.743Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-18T21:04:28.743Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-18T21:04:28.743Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (18270.663 ms) ====== [2025-06-18T21:04:28.743Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-06-18T21:04:28.743Z] GC before operation: completed in 175.773 ms, heap usage 411.980 MB -> 89.290 MB. [2025-06-18T21:04:31.699Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:04:34.653Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:04:37.578Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:04:39.800Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:04:41.424Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:04:43.054Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:04:44.686Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:04:46.351Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:04:46.351Z] 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. [2025-06-18T21:04:46.351Z] The best model improves the baseline by 14.34%. [2025-06-18T21:04:46.680Z] Top recommended movies for user id 72: [2025-06-18T21:04:46.680Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-18T21:04:46.680Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-18T21:04:46.680Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-18T21:04:46.680Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-18T21:04:46.680Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-18T21:04:46.680Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (17724.468 ms) ====== [2025-06-18T21:04:46.680Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-06-18T21:04:46.680Z] GC before operation: completed in 187.405 ms, heap usage 741.451 MB -> 93.788 MB. [2025-06-18T21:04:49.715Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:04:52.027Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:04:54.947Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:04:57.873Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:04:58.993Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:05:00.623Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:05:02.267Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:05:03.900Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:05:04.220Z] 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. [2025-06-18T21:05:04.220Z] The best model improves the baseline by 14.34%. [2025-06-18T21:05:04.541Z] Top recommended movies for user id 72: [2025-06-18T21:05:04.541Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-18T21:05:04.541Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-18T21:05:04.541Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-18T21:05:04.541Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-18T21:05:04.541Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-18T21:05:04.541Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (17726.317 ms) ====== [2025-06-18T21:05:04.863Z] ----------------------------------- [2025-06-18T21:05:04.863Z] renaissance-movie-lens_0_PASSED [2025-06-18T21:05:04.863Z] ----------------------------------- [2025-06-18T21:05:04.863Z] [2025-06-18T21:05:04.863Z] TEST TEARDOWN: [2025-06-18T21:05:04.863Z] Nothing to be done for teardown. [2025-06-18T21:05:04.863Z] renaissance-movie-lens_0 Finish Time: Wed Jun 18 21:05:04 2025 Epoch Time (ms): 1750280704703