[2025-07-30T20:28:31.904Z] Running test renaissance-movie-lens_0 ... [2025-07-30T20:28:31.904Z] =============================================== [2025-07-30T20:28:31.904Z] renaissance-movie-lens_0 Start Time: Wed Jul 30 15:28:31 2025 Epoch Time (ms): 1753907311146 [2025-07-30T20:28:31.904Z] variation: NoOptions [2025-07-30T20:28:31.904Z] JVM_OPTIONS: [2025-07-30T20:28:31.904Z] { \ [2025-07-30T20:28:31.904Z] echo ""; echo "TEST SETUP:"; \ [2025-07-30T20:28:31.904Z] echo "Nothing to be done for setup."; \ [2025-07-30T20:28:31.904Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17539053688225/renaissance-movie-lens_0"; \ [2025-07-30T20:28:31.904Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17539053688225/renaissance-movie-lens_0"; \ [2025-07-30T20:28:31.904Z] echo ""; echo "TESTING:"; \ [2025-07-30T20:28:31.904Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17539053688225/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-07-30T20:28:31.904Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17539053688225/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-07-30T20:28:31.904Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-07-30T20:28:31.904Z] echo "Nothing to be done for teardown."; \ [2025-07-30T20:28:31.904Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17539053688225/TestTargetResult"; [2025-07-30T20:28:31.904Z] [2025-07-30T20:28:31.904Z] TEST SETUP: [2025-07-30T20:28:31.904Z] Nothing to be done for setup. [2025-07-30T20:28:31.904Z] [2025-07-30T20:28:31.904Z] TESTING: [2025-07-30T20:28:41.026Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-07-30T20:28:52.160Z] 15:28:50.872 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2025-07-30T20:28:54.282Z] Got 100004 ratings from 671 users on 9066 movies. [2025-07-30T20:28:55.593Z] Training: 60056, validation: 20285, test: 19854 [2025-07-30T20:28:55.593Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-07-30T20:28:55.593Z] GC before operation: completed in 329.101 ms, heap usage 158.035 MB -> 75.915 MB. [2025-07-30T20:29:04.443Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-30T20:29:11.794Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-30T20:29:17.817Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-30T20:29:23.023Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-30T20:29:26.877Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-30T20:29:30.091Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-30T20:29:33.995Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-30T20:29:38.593Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-30T20:29:38.593Z] 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. [2025-07-30T20:29:38.593Z] The best model improves the baseline by 14.34%. [2025-07-30T20:29:39.235Z] Top recommended movies for user id 72: [2025-07-30T20:29:39.235Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-07-30T20:29:39.235Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-07-30T20:29:39.235Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-07-30T20:29:39.235Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-07-30T20:29:39.235Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-07-30T20:29:39.235Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (43375.466 ms) ====== [2025-07-30T20:29:39.235Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-07-30T20:29:39.235Z] GC before operation: completed in 287.403 ms, heap usage 171.464 MB -> 90.485 MB. [2025-07-30T20:29:45.215Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-30T20:29:52.550Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-30T20:29:58.595Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-30T20:30:04.598Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-30T20:30:06.704Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-30T20:30:09.693Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-30T20:30:13.563Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-30T20:30:16.584Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-30T20:30:17.254Z] 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. [2025-07-30T20:30:17.254Z] The best model improves the baseline by 14.34%. [2025-07-30T20:30:17.254Z] Top recommended movies for user id 72: [2025-07-30T20:30:17.254Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-07-30T20:30:17.254Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-07-30T20:30:17.254Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-07-30T20:30:17.254Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-07-30T20:30:17.254Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-07-30T20:30:17.254Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (38217.521 ms) ====== [2025-07-30T20:30:17.254Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-07-30T20:30:18.733Z] GC before operation: completed in 339.554 ms, heap usage 151.155 MB -> 87.773 MB. [2025-07-30T20:30:23.513Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-30T20:30:29.699Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-30T20:30:36.017Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-30T20:30:42.077Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-30T20:30:45.953Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-30T20:30:49.848Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-30T20:30:53.811Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-30T20:30:56.794Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-30T20:30:57.446Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-07-30T20:30:57.446Z] The best model improves the baseline by 14.34%. [2025-07-30T20:30:58.081Z] Top recommended movies for user id 72: [2025-07-30T20:30:58.081Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-07-30T20:30:58.081Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-07-30T20:30:58.081Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-07-30T20:30:58.081Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-07-30T20:30:58.081Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-07-30T20:30:58.081Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (39942.436 ms) ====== [2025-07-30T20:30:58.081Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-07-30T20:30:58.081Z] GC before operation: completed in 323.271 ms, heap usage 246.559 MB -> 88.458 MB. [2025-07-30T20:31:03.651Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-30T20:31:09.611Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-30T20:31:15.625Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-30T20:31:20.576Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-30T20:31:24.574Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-30T20:31:28.584Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-30T20:31:32.443Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-30T20:31:35.455Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-30T20:31:36.096Z] 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. [2025-07-30T20:31:36.096Z] The best model improves the baseline by 14.34%. [2025-07-30T20:31:36.096Z] Top recommended movies for user id 72: [2025-07-30T20:31:36.096Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-07-30T20:31:36.096Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-07-30T20:31:36.096Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-07-30T20:31:36.096Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-07-30T20:31:36.096Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-07-30T20:31:36.096Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (38143.450 ms) ====== [2025-07-30T20:31:36.096Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-07-30T20:31:36.722Z] GC before operation: completed in 355.872 ms, heap usage 166.692 MB -> 88.667 MB. [2025-07-30T20:31:41.594Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-30T20:31:48.211Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-30T20:31:54.377Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-30T20:32:00.657Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-30T20:32:04.541Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-30T20:32:07.509Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-30T20:32:11.345Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-30T20:32:14.377Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-30T20:32:15.045Z] 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. [2025-07-30T20:32:15.045Z] The best model improves the baseline by 14.34%. [2025-07-30T20:32:15.045Z] Top recommended movies for user id 72: [2025-07-30T20:32:15.045Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-07-30T20:32:15.045Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-07-30T20:32:15.045Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-07-30T20:32:15.045Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-07-30T20:32:15.045Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-07-30T20:32:15.045Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (38392.425 ms) ====== [2025-07-30T20:32:15.045Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-07-30T20:32:15.046Z] GC before operation: completed in 276.779 ms, heap usage 398.149 MB -> 89.151 MB. [2025-07-30T20:32:21.072Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-30T20:32:27.969Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-30T20:32:30.819Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-30T20:32:34.489Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-30T20:32:37.526Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-30T20:32:41.503Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-30T20:32:45.431Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-30T20:32:49.299Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-30T20:32:49.299Z] 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. [2025-07-30T20:32:49.299Z] The best model improves the baseline by 14.34%. [2025-07-30T20:32:49.930Z] Top recommended movies for user id 72: [2025-07-30T20:32:49.930Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-07-30T20:32:49.930Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-07-30T20:32:49.930Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-07-30T20:32:49.930Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-07-30T20:32:49.930Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-07-30T20:32:49.930Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (34370.435 ms) ====== [2025-07-30T20:32:49.930Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-07-30T20:32:49.930Z] GC before operation: completed in 184.962 ms, heap usage 238.698 MB -> 89.265 MB. [2025-07-30T20:32:54.642Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-30T20:32:59.535Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-30T20:33:04.334Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-30T20:33:10.140Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-30T20:33:10.740Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-30T20:33:12.731Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-30T20:33:15.574Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-30T20:33:17.575Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-30T20:33:18.234Z] 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. [2025-07-30T20:33:18.234Z] The best model improves the baseline by 14.34%. [2025-07-30T20:33:18.234Z] Top recommended movies for user id 72: [2025-07-30T20:33:18.234Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-07-30T20:33:18.234Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-07-30T20:33:18.234Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-07-30T20:33:18.234Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-07-30T20:33:18.234Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-07-30T20:33:18.234Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (28495.768 ms) ====== [2025-07-30T20:33:18.234Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-07-30T20:33:18.234Z] GC before operation: completed in 167.696 ms, heap usage 166.985 MB -> 90.214 MB. [2025-07-30T20:33:22.025Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-30T20:33:25.775Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-30T20:33:30.641Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-30T20:33:34.366Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-30T20:33:35.646Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-30T20:33:37.673Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-30T20:33:40.447Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-30T20:33:41.737Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-30T20:33:41.737Z] 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. [2025-07-30T20:33:41.737Z] The best model improves the baseline by 14.34%. [2025-07-30T20:33:42.394Z] Top recommended movies for user id 72: [2025-07-30T20:33:42.394Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-07-30T20:33:42.394Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-07-30T20:33:42.394Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-07-30T20:33:42.394Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-07-30T20:33:42.394Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-07-30T20:33:42.394Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (23635.932 ms) ====== [2025-07-30T20:33:42.394Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-07-30T20:33:42.394Z] GC before operation: completed in 133.439 ms, heap usage 116.330 MB -> 89.153 MB. [2025-07-30T20:33:45.181Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-30T20:33:48.840Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-30T20:33:51.514Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-30T20:33:54.280Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-30T20:33:57.453Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-30T20:33:58.757Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-30T20:34:01.543Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-30T20:34:03.538Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-30T20:34:03.538Z] 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. [2025-07-30T20:34:03.538Z] The best model improves the baseline by 14.34%. [2025-07-30T20:34:04.158Z] Top recommended movies for user id 72: [2025-07-30T20:34:04.158Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-07-30T20:34:04.158Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-07-30T20:34:04.158Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-07-30T20:34:04.158Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-07-30T20:34:04.158Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-07-30T20:34:04.158Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (21721.512 ms) ====== [2025-07-30T20:34:04.158Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-07-30T20:34:04.158Z] GC before operation: completed in 247.325 ms, heap usage 421.205 MB -> 89.577 MB. [2025-07-30T20:34:07.914Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-30T20:34:11.577Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-30T20:34:14.416Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-30T20:34:18.100Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-30T20:34:20.096Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-30T20:34:22.882Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-30T20:34:24.872Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-30T20:34:27.363Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-30T20:34:27.363Z] 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. [2025-07-30T20:34:27.363Z] The best model improves the baseline by 14.34%. [2025-07-30T20:34:27.363Z] Top recommended movies for user id 72: [2025-07-30T20:34:27.363Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-07-30T20:34:27.363Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-07-30T20:34:27.363Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-07-30T20:34:27.363Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-07-30T20:34:27.363Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-07-30T20:34:27.363Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (22962.770 ms) ====== [2025-07-30T20:34:27.363Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-07-30T20:34:27.363Z] GC before operation: completed in 180.940 ms, heap usage 180.075 MB -> 89.404 MB. [2025-07-30T20:34:31.020Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-30T20:34:34.071Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-30T20:34:36.902Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-30T20:34:40.610Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-30T20:34:42.664Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-30T20:34:44.681Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-30T20:34:46.694Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-30T20:34:48.694Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-30T20:34:48.694Z] 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. [2025-07-30T20:34:48.694Z] The best model improves the baseline by 14.34%. [2025-07-30T20:34:48.694Z] Top recommended movies for user id 72: [2025-07-30T20:34:48.694Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-07-30T20:34:48.694Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-07-30T20:34:48.694Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-07-30T20:34:48.694Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-07-30T20:34:48.694Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-07-30T20:34:48.694Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (21613.519 ms) ====== [2025-07-30T20:34:48.694Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-07-30T20:34:49.313Z] GC before operation: completed in 211.491 ms, heap usage 154.980 MB -> 89.100 MB. [2025-07-30T20:34:52.144Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-30T20:34:54.931Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-30T20:34:58.763Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-30T20:35:01.549Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-30T20:35:04.728Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-30T20:35:05.345Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-30T20:35:07.363Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-30T20:35:09.326Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-30T20:35:09.326Z] 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. [2025-07-30T20:35:09.326Z] The best model improves the baseline by 14.34%. [2025-07-30T20:35:09.944Z] Top recommended movies for user id 72: [2025-07-30T20:35:09.944Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-07-30T20:35:09.944Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-07-30T20:35:09.944Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-07-30T20:35:09.944Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-07-30T20:35:09.944Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-07-30T20:35:09.944Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (20552.587 ms) ====== [2025-07-30T20:35:09.944Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-07-30T20:35:09.944Z] GC before operation: completed in 128.871 ms, heap usage 408.763 MB -> 89.786 MB. [2025-07-30T20:35:13.902Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-30T20:35:17.665Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-30T20:35:21.387Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-30T20:35:24.144Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-30T20:35:26.181Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-30T20:35:28.315Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-30T20:35:30.314Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-30T20:35:32.293Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-30T20:35:32.917Z] 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. [2025-07-30T20:35:32.917Z] The best model improves the baseline by 14.34%. [2025-07-30T20:35:32.917Z] Top recommended movies for user id 72: [2025-07-30T20:35:32.917Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-07-30T20:35:32.917Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-07-30T20:35:32.917Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-07-30T20:35:32.917Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-07-30T20:35:32.917Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-07-30T20:35:32.917Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (23067.431 ms) ====== [2025-07-30T20:35:32.917Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-07-30T20:35:32.917Z] GC before operation: completed in 155.241 ms, heap usage 217.108 MB -> 89.485 MB. [2025-07-30T20:35:36.895Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-30T20:35:40.706Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-30T20:35:44.447Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-30T20:35:47.328Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-30T20:35:50.137Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-30T20:35:51.505Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-30T20:35:53.565Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-30T20:35:55.648Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-30T20:35:56.264Z] 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. [2025-07-30T20:35:56.264Z] The best model improves the baseline by 14.34%. [2025-07-30T20:35:56.264Z] Top recommended movies for user id 72: [2025-07-30T20:35:56.264Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-07-30T20:35:56.264Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-07-30T20:35:56.264Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-07-30T20:35:56.264Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-07-30T20:35:56.264Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-07-30T20:35:56.264Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (23184.561 ms) ====== [2025-07-30T20:35:56.264Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-07-30T20:35:56.264Z] GC before operation: completed in 165.852 ms, heap usage 225.882 MB -> 89.430 MB. [2025-07-30T20:35:59.045Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-30T20:36:01.865Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-30T20:36:05.547Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-30T20:36:08.312Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-30T20:36:10.304Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-30T20:36:12.272Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-30T20:36:13.627Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-30T20:36:15.684Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-30T20:36:16.311Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-07-30T20:36:16.311Z] The best model improves the baseline by 14.34%. [2025-07-30T20:36:16.311Z] Top recommended movies for user id 72: [2025-07-30T20:36:16.311Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-07-30T20:36:16.311Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-07-30T20:36:16.311Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-07-30T20:36:16.311Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-07-30T20:36:16.311Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-07-30T20:36:16.311Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19829.277 ms) ====== [2025-07-30T20:36:16.311Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-07-30T20:36:16.311Z] GC before operation: completed in 255.162 ms, heap usage 180.820 MB -> 89.534 MB. [2025-07-30T20:36:19.664Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-30T20:36:22.441Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-30T20:36:25.231Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-30T20:36:28.070Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-30T20:36:30.092Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-30T20:36:32.043Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-30T20:36:34.052Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-30T20:36:35.354Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-30T20:36:35.967Z] 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. [2025-07-30T20:36:35.967Z] The best model improves the baseline by 14.34%. [2025-07-30T20:36:35.967Z] Top recommended movies for user id 72: [2025-07-30T20:36:35.967Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-07-30T20:36:35.967Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-07-30T20:36:35.967Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-07-30T20:36:35.967Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-07-30T20:36:35.967Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-07-30T20:36:35.967Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (19329.214 ms) ====== [2025-07-30T20:36:35.967Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-07-30T20:36:35.967Z] GC before operation: completed in 151.174 ms, heap usage 407.945 MB -> 89.789 MB. [2025-07-30T20:36:39.582Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-30T20:36:42.379Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-30T20:36:45.143Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-30T20:36:47.131Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-30T20:36:49.083Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-30T20:36:50.352Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-30T20:36:52.350Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-30T20:36:54.545Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-30T20:36:54.545Z] 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. [2025-07-30T20:36:54.545Z] The best model improves the baseline by 14.34%. [2025-07-30T20:36:54.545Z] Top recommended movies for user id 72: [2025-07-30T20:36:54.545Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-07-30T20:36:54.545Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-07-30T20:36:54.545Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-07-30T20:36:54.545Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-07-30T20:36:54.545Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-07-30T20:36:54.545Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (18417.160 ms) ====== [2025-07-30T20:36:54.545Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-07-30T20:36:54.545Z] GC before operation: completed in 189.231 ms, heap usage 203.552 MB -> 89.497 MB. [2025-07-30T20:36:57.319Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-30T20:37:00.073Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-30T20:37:03.677Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-30T20:37:05.694Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-30T20:37:07.720Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-30T20:37:08.983Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-30T20:37:10.952Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-30T20:37:12.929Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-30T20:37:12.929Z] 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. [2025-07-30T20:37:12.929Z] The best model improves the baseline by 14.34%. [2025-07-30T20:37:12.929Z] Top recommended movies for user id 72: [2025-07-30T20:37:12.929Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-07-30T20:37:12.929Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-07-30T20:37:12.929Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-07-30T20:37:12.929Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-07-30T20:37:12.929Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-07-30T20:37:12.929Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (18386.895 ms) ====== [2025-07-30T20:37:12.930Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-07-30T20:37:12.930Z] GC before operation: completed in 167.445 ms, heap usage 365.401 MB -> 89.685 MB. [2025-07-30T20:37:15.696Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-30T20:37:18.484Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-30T20:37:22.119Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-30T20:37:24.173Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-30T20:37:26.172Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-30T20:37:27.453Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-30T20:37:29.445Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-30T20:37:32.293Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-30T20:37:32.293Z] 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. [2025-07-30T20:37:32.293Z] The best model improves the baseline by 14.34%. [2025-07-30T20:37:32.293Z] Top recommended movies for user id 72: [2025-07-30T20:37:32.293Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-07-30T20:37:32.293Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-07-30T20:37:32.293Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-07-30T20:37:32.293Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-07-30T20:37:32.293Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-07-30T20:37:32.293Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18584.537 ms) ====== [2025-07-30T20:37:32.293Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-07-30T20:37:32.293Z] GC before operation: completed in 141.054 ms, heap usage 237.563 MB -> 89.502 MB. [2025-07-30T20:37:34.335Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-30T20:37:37.069Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-30T20:37:39.815Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-30T20:37:42.535Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-30T20:37:44.509Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-30T20:37:45.754Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-30T20:37:47.706Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-30T20:37:49.705Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-30T20:37:49.705Z] 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. [2025-07-30T20:37:49.705Z] The best model improves the baseline by 14.34%. [2025-07-30T20:37:49.705Z] Top recommended movies for user id 72: [2025-07-30T20:37:49.705Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-07-30T20:37:49.705Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-07-30T20:37:49.705Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-07-30T20:37:49.705Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-07-30T20:37:49.705Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-07-30T20:37:49.705Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (17784.157 ms) ====== [2025-07-30T20:37:50.307Z] ----------------------------------- [2025-07-30T20:37:50.307Z] renaissance-movie-lens_0_PASSED [2025-07-30T20:37:50.307Z] ----------------------------------- [2025-07-30T20:37:50.307Z] [2025-07-30T20:37:50.307Z] TEST TEARDOWN: [2025-07-30T20:37:50.307Z] Nothing to be done for teardown. [2025-07-30T20:37:50.307Z] renaissance-movie-lens_0 Finish Time: Wed Jul 30 15:37:49 2025 Epoch Time (ms): 1753907869816