[2025-09-03T22:45:59.732Z] Running test renaissance-movie-lens_0 ... [2025-09-03T22:45:59.732Z] =============================================== [2025-09-03T22:45:59.732Z] renaissance-movie-lens_0 Start Time: Wed Sep 3 22:45:58 2025 Epoch Time (ms): 1756939559004 [2025-09-03T22:45:59.732Z] variation: NoOptions [2025-09-03T22:45:59.732Z] JVM_OPTIONS: [2025-09-03T22:45:59.732Z] { \ [2025-09-03T22:45:59.732Z] echo ""; echo "TEST SETUP:"; \ [2025-09-03T22:45:59.732Z] echo "Nothing to be done for setup."; \ [2025-09-03T22:45:59.732Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17569356957324/renaissance-movie-lens_0"; \ [2025-09-03T22:45:59.732Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17569356957324/renaissance-movie-lens_0"; \ [2025-09-03T22:45:59.732Z] echo ""; echo "TESTING:"; \ [2025-09-03T22:45:59.732Z] "/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_17569356957324/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-09-03T22:45:59.732Z] 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_17569356957324/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-09-03T22:45:59.732Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-09-03T22:45:59.732Z] echo "Nothing to be done for teardown."; \ [2025-09-03T22:45:59.732Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17569356957324/TestTargetResult"; [2025-09-03T22:45:59.732Z] [2025-09-03T22:45:59.732Z] TEST SETUP: [2025-09-03T22:45:59.732Z] Nothing to be done for setup. [2025-09-03T22:45:59.732Z] [2025-09-03T22:45:59.732Z] TESTING: [2025-09-03T22:46:12.988Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-09-03T22:46:28.178Z] 22:46:26.579 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. [2025-09-03T22:46:31.334Z] Got 100004 ratings from 671 users on 9066 movies. [2025-09-03T22:46:32.868Z] Training: 60056, validation: 20285, test: 19854 [2025-09-03T22:46:32.868Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-09-03T22:46:33.547Z] GC before operation: completed in 453.036 ms, heap usage 309.038 MB -> 75.667 MB. [2025-09-03T22:46:46.680Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T22:46:55.668Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T22:47:01.849Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T22:47:08.664Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T22:47:17.319Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T22:47:21.389Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T22:47:25.593Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T22:47:30.790Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T22:47:31.587Z] 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. [2025-09-03T22:47:31.587Z] The best model improves the baseline by 14.34%. [2025-09-03T22:47:32.999Z] Top recommended movies for user id 72: [2025-09-03T22:47:32.999Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-03T22:47:32.999Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-03T22:47:32.999Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-03T22:47:32.999Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-03T22:47:32.999Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-03T22:47:32.999Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (59655.827 ms) ====== [2025-09-03T22:47:32.999Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-09-03T22:47:33.842Z] GC before operation: completed in 520.326 ms, heap usage 228.334 MB -> 86.003 MB. [2025-09-03T22:47:40.079Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T22:47:47.899Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T22:47:55.465Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T22:47:59.621Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T22:48:02.631Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T22:48:06.591Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T22:48:10.273Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T22:48:13.549Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T22:48:13.549Z] 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. [2025-09-03T22:48:14.207Z] The best model improves the baseline by 14.34%. [2025-09-03T22:48:14.207Z] Top recommended movies for user id 72: [2025-09-03T22:48:14.207Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-03T22:48:14.207Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-03T22:48:14.207Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-03T22:48:14.207Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-03T22:48:14.207Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-03T22:48:14.207Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (40726.596 ms) ====== [2025-09-03T22:48:14.207Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-09-03T22:48:14.207Z] GC before operation: completed in 314.209 ms, heap usage 227.268 MB -> 87.778 MB. [2025-09-03T22:48:19.193Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T22:48:27.040Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T22:48:34.828Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T22:48:41.864Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T22:48:45.895Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T22:48:48.128Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T22:48:52.227Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T22:48:54.481Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T22:48:55.190Z] 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. [2025-09-03T22:48:55.190Z] The best model improves the baseline by 14.34%. [2025-09-03T22:48:55.997Z] Top recommended movies for user id 72: [2025-09-03T22:48:55.997Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-03T22:48:55.997Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-03T22:48:55.997Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-03T22:48:55.997Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-03T22:48:55.997Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-03T22:48:55.997Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (41369.783 ms) ====== [2025-09-03T22:48:55.997Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-09-03T22:48:55.997Z] GC before operation: completed in 338.668 ms, heap usage 212.569 MB -> 88.428 MB. [2025-09-03T22:49:02.281Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T22:49:07.286Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T22:49:13.673Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T22:49:17.766Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T22:49:21.063Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T22:49:25.318Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T22:49:28.290Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T22:49:33.187Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T22:49:34.582Z] 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. [2025-09-03T22:49:34.582Z] The best model improves the baseline by 14.34%. [2025-09-03T22:49:34.582Z] Top recommended movies for user id 72: [2025-09-03T22:49:34.582Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-03T22:49:34.582Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-03T22:49:34.582Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-03T22:49:34.582Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-03T22:49:34.582Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-03T22:49:34.582Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (38654.973 ms) ====== [2025-09-03T22:49:34.582Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-09-03T22:49:35.235Z] GC before operation: completed in 349.258 ms, heap usage 199.038 MB -> 88.661 MB. [2025-09-03T22:49:40.516Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T22:49:46.941Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T22:49:53.283Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T22:50:00.126Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T22:50:04.451Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T22:50:07.637Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T22:50:11.753Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T22:50:17.131Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T22:50:18.759Z] 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. [2025-09-03T22:50:18.759Z] The best model improves the baseline by 14.34%. [2025-09-03T22:50:19.681Z] Top recommended movies for user id 72: [2025-09-03T22:50:19.681Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-03T22:50:19.681Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-03T22:50:19.681Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-03T22:50:19.681Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-03T22:50:19.681Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-03T22:50:19.681Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (44733.460 ms) ====== [2025-09-03T22:50:19.681Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-09-03T22:50:21.387Z] GC before operation: completed in 1071.515 ms, heap usage 216.684 MB -> 88.594 MB. [2025-09-03T22:50:28.096Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T22:50:34.689Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T22:50:43.237Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T22:50:49.609Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T22:50:51.868Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T22:50:54.898Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T22:50:58.003Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T22:51:02.179Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T22:51:02.179Z] 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. [2025-09-03T22:51:02.817Z] The best model improves the baseline by 14.34%. [2025-09-03T22:51:02.817Z] Top recommended movies for user id 72: [2025-09-03T22:51:02.817Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-03T22:51:02.817Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-03T22:51:02.817Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-03T22:51:02.817Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-03T22:51:02.817Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-03T22:51:02.817Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (42112.197 ms) ====== [2025-09-03T22:51:02.817Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-09-03T22:51:03.488Z] GC before operation: completed in 309.101 ms, heap usage 181.281 MB -> 88.908 MB. [2025-09-03T22:51:08.538Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T22:51:15.081Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T22:51:20.930Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T22:51:26.195Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T22:51:29.289Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T22:51:31.478Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T22:51:34.609Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T22:51:37.908Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T22:51:37.908Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-09-03T22:51:37.908Z] The best model improves the baseline by 14.34%. [2025-09-03T22:51:38.652Z] Top recommended movies for user id 72: [2025-09-03T22:51:38.652Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-03T22:51:38.652Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-03T22:51:38.652Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-03T22:51:38.652Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-03T22:51:38.652Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-03T22:51:38.652Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (35071.688 ms) ====== [2025-09-03T22:51:38.652Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-09-03T22:51:38.652Z] GC before operation: completed in 461.313 ms, heap usage 203.894 MB -> 88.948 MB. [2025-09-03T22:51:48.420Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T22:51:52.450Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T22:51:56.578Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T22:52:01.652Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T22:52:04.842Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T22:52:07.022Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T22:52:11.126Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T22:52:14.194Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T22:52:14.194Z] 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. [2025-09-03T22:52:14.194Z] The best model improves the baseline by 14.34%. [2025-09-03T22:52:14.904Z] Top recommended movies for user id 72: [2025-09-03T22:52:14.904Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-03T22:52:14.904Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-03T22:52:14.904Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-03T22:52:14.904Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-03T22:52:14.904Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-03T22:52:14.904Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (35726.608 ms) ====== [2025-09-03T22:52:14.904Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-09-03T22:52:14.904Z] GC before operation: completed in 334.808 ms, heap usage 168.272 MB -> 89.174 MB. [2025-09-03T22:52:20.148Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T22:52:25.218Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T22:52:31.527Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T22:52:35.698Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T22:52:41.125Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T22:52:45.280Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T22:52:48.519Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T22:52:51.608Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T22:52:52.274Z] 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. [2025-09-03T22:52:52.274Z] The best model improves the baseline by 14.34%. [2025-09-03T22:52:52.274Z] Top recommended movies for user id 72: [2025-09-03T22:52:52.274Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-03T22:52:52.274Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-03T22:52:52.274Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-03T22:52:52.274Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-03T22:52:52.274Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-03T22:52:52.274Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (37507.189 ms) ====== [2025-09-03T22:52:52.274Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-09-03T22:52:53.030Z] GC before operation: completed in 595.895 ms, heap usage 393.926 MB -> 89.395 MB. [2025-09-03T22:53:01.006Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T22:53:06.169Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T22:53:11.349Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T22:53:15.568Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T22:53:17.750Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T22:53:21.854Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T22:53:25.266Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T22:53:29.419Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T22:53:30.927Z] 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. [2025-09-03T22:53:30.927Z] The best model improves the baseline by 14.34%. [2025-09-03T22:53:30.927Z] Top recommended movies for user id 72: [2025-09-03T22:53:30.927Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-03T22:53:30.927Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-03T22:53:30.927Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-03T22:53:30.927Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-03T22:53:30.927Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-03T22:53:30.927Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (38131.976 ms) ====== [2025-09-03T22:53:30.927Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-09-03T22:53:31.608Z] GC before operation: completed in 322.630 ms, heap usage 170.613 MB -> 91.149 MB. [2025-09-03T22:53:39.702Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T22:53:44.949Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T22:53:51.373Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T22:53:56.485Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T22:53:59.697Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T22:54:02.885Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T22:54:08.090Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T22:54:10.339Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T22:54:11.007Z] 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. [2025-09-03T22:54:11.007Z] The best model improves the baseline by 14.34%. [2025-09-03T22:54:11.007Z] Top recommended movies for user id 72: [2025-09-03T22:54:11.007Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-03T22:54:11.007Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-03T22:54:11.007Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-03T22:54:11.007Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-03T22:54:11.007Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-03T22:54:11.007Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (39414.388 ms) ====== [2025-09-03T22:54:11.007Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-09-03T22:54:11.007Z] GC before operation: completed in 238.801 ms, heap usage 202.446 MB -> 88.898 MB. [2025-09-03T22:54:15.489Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T22:54:19.494Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T22:54:22.509Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T22:54:26.520Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T22:54:28.834Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T22:54:31.998Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T22:54:35.103Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T22:54:37.279Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T22:54:38.067Z] 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. [2025-09-03T22:54:38.759Z] The best model improves the baseline by 14.34%. [2025-09-03T22:54:39.563Z] Top recommended movies for user id 72: [2025-09-03T22:54:39.563Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-03T22:54:39.563Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-03T22:54:39.563Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-03T22:54:39.563Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-03T22:54:39.563Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-03T22:54:39.563Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (28087.409 ms) ====== [2025-09-03T22:54:39.563Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-09-03T22:54:40.499Z] GC before operation: completed in 963.950 ms, heap usage 172.209 MB -> 91.178 MB. [2025-09-03T22:54:46.188Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T22:54:51.420Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T22:54:59.520Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T22:55:04.939Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T22:55:08.004Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T22:55:13.626Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T22:55:18.853Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T22:55:25.767Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T22:55:25.767Z] 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. [2025-09-03T22:55:25.767Z] The best model improves the baseline by 14.34%. [2025-09-03T22:55:26.460Z] Top recommended movies for user id 72: [2025-09-03T22:55:26.460Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-03T22:55:26.460Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-03T22:55:26.460Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-03T22:55:26.460Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-03T22:55:26.460Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-03T22:55:26.460Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (46168.009 ms) ====== [2025-09-03T22:55:26.460Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-09-03T22:55:27.124Z] GC before operation: completed in 472.102 ms, heap usage 191.134 MB -> 89.262 MB. [2025-09-03T22:55:31.277Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T22:55:35.302Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T22:55:40.379Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T22:55:46.568Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T22:55:49.656Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T22:55:52.838Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T22:55:55.948Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T22:55:58.206Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T22:55:58.919Z] 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. [2025-09-03T22:55:58.919Z] The best model improves the baseline by 14.34%. [2025-09-03T22:55:59.577Z] Top recommended movies for user id 72: [2025-09-03T22:55:59.577Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-03T22:55:59.577Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-03T22:55:59.577Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-03T22:55:59.577Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-03T22:55:59.577Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-03T22:55:59.577Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (32389.202 ms) ====== [2025-09-03T22:55:59.577Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-09-03T22:55:59.577Z] GC before operation: completed in 316.694 ms, heap usage 212.510 MB -> 89.189 MB. [2025-09-03T22:56:06.105Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T22:56:12.731Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T22:56:19.109Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T22:56:24.411Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T22:56:25.906Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T22:56:28.569Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T22:56:31.754Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T22:56:33.958Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T22:56:34.678Z] 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. [2025-09-03T22:56:34.678Z] The best model improves the baseline by 14.34%. [2025-09-03T22:56:34.678Z] Top recommended movies for user id 72: [2025-09-03T22:56:34.678Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-03T22:56:34.678Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-03T22:56:34.678Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-03T22:56:34.678Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-03T22:56:34.678Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-03T22:56:34.678Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (35203.340 ms) ====== [2025-09-03T22:56:34.678Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-09-03T22:56:35.381Z] GC before operation: completed in 303.056 ms, heap usage 249.188 MB -> 89.487 MB. [2025-09-03T22:56:40.983Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T22:56:46.178Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T22:56:50.538Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T22:56:53.480Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T22:56:56.265Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T22:56:57.758Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T22:57:00.320Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T22:57:02.581Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T22:57:03.387Z] 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. [2025-09-03T22:57:03.387Z] The best model improves the baseline by 14.34%. [2025-09-03T22:57:03.387Z] Top recommended movies for user id 72: [2025-09-03T22:57:03.387Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-03T22:57:03.387Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-03T22:57:03.387Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-03T22:57:03.387Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-03T22:57:03.387Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-03T22:57:03.387Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (28143.116 ms) ====== [2025-09-03T22:57:03.387Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-09-03T22:57:03.387Z] GC before operation: completed in 310.179 ms, heap usage 110.969 MB -> 89.334 MB. [2025-09-03T22:57:07.469Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T22:57:12.509Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T22:57:16.754Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T22:57:21.237Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T22:57:23.717Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T22:57:25.940Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T22:57:28.975Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T22:57:31.140Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T22:57:31.140Z] 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. [2025-09-03T22:57:31.140Z] The best model improves the baseline by 14.34%. [2025-09-03T22:57:31.840Z] Top recommended movies for user id 72: [2025-09-03T22:57:31.840Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-03T22:57:31.840Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-03T22:57:31.840Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-03T22:57:31.840Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-03T22:57:31.840Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-03T22:57:31.840Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (27959.441 ms) ====== [2025-09-03T22:57:31.840Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-09-03T22:57:31.840Z] GC before operation: completed in 264.899 ms, heap usage 212.825 MB -> 89.362 MB. [2025-09-03T22:57:35.891Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T22:57:40.864Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T22:57:44.859Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T22:57:48.758Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T22:57:50.262Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T22:57:53.317Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T22:57:56.811Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T22:58:00.065Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T22:58:00.065Z] 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. [2025-09-03T22:58:00.065Z] The best model improves the baseline by 14.34%. [2025-09-03T22:58:00.065Z] Top recommended movies for user id 72: [2025-09-03T22:58:00.065Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-03T22:58:00.065Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-03T22:58:00.065Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-03T22:58:00.065Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-03T22:58:00.065Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-03T22:58:00.065Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (28412.068 ms) ====== [2025-09-03T22:58:00.065Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-09-03T22:58:00.725Z] GC before operation: completed in 282.385 ms, heap usage 177.113 MB -> 89.235 MB. [2025-09-03T22:58:04.723Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T22:58:08.640Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T22:58:13.722Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T22:58:17.722Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T22:58:20.956Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T22:58:23.949Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T22:58:26.084Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T22:58:29.132Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T22:58:29.828Z] 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. [2025-09-03T22:58:29.828Z] The best model improves the baseline by 14.34%. [2025-09-03T22:58:30.485Z] Top recommended movies for user id 72: [2025-09-03T22:58:30.485Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-03T22:58:30.485Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-03T22:58:30.485Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-03T22:58:30.485Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-03T22:58:30.485Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-03T22:58:30.485Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (29780.027 ms) ====== [2025-09-03T22:58:30.485Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-09-03T22:58:30.485Z] GC before operation: completed in 224.295 ms, heap usage 217.011 MB -> 89.227 MB. [2025-09-03T22:58:34.398Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T22:58:38.364Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T22:58:43.377Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T22:58:46.381Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T22:58:48.650Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T22:58:52.368Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T22:58:54.621Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T22:58:56.801Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T22:58:57.538Z] 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. [2025-09-03T22:58:57.538Z] The best model improves the baseline by 14.34%. [2025-09-03T22:58:57.538Z] Top recommended movies for user id 72: [2025-09-03T22:58:57.538Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-03T22:58:57.538Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-03T22:58:57.538Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-03T22:58:57.538Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-03T22:58:57.538Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-03T22:58:57.538Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (27167.257 ms) ====== [2025-09-03T22:58:58.222Z] ----------------------------------- [2025-09-03T22:58:58.222Z] renaissance-movie-lens_0_PASSED [2025-09-03T22:58:58.222Z] ----------------------------------- [2025-09-03T22:58:58.222Z] [2025-09-03T22:58:58.222Z] TEST TEARDOWN: [2025-09-03T22:58:58.222Z] Nothing to be done for teardown. [2025-09-03T22:58:58.222Z] renaissance-movie-lens_0 Finish Time: Wed Sep 3 22:58:58 2025 Epoch Time (ms): 1756940338019