[2025-08-20T21:24:31.084Z] Running test renaissance-movie-lens_0 ... [2025-08-20T21:24:31.528Z] =============================================== [2025-08-20T21:24:31.528Z] renaissance-movie-lens_0 Start Time: Wed Aug 20 14:24:30 2025 Epoch Time (ms): 1755725070959 [2025-08-20T21:24:31.528Z] variation: NoOptions [2025-08-20T21:24:31.528Z] JVM_OPTIONS: [2025-08-20T21:24:31.528Z] { \ [2025-08-20T21:24:31.528Z] echo ""; echo "TEST SETUP:"; \ [2025-08-20T21:24:31.528Z] echo "Nothing to be done for setup."; \ [2025-08-20T21:24:31.528Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17557211464627/renaissance-movie-lens_0"; \ [2025-08-20T21:24:31.528Z] cd "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17557211464627/renaissance-movie-lens_0"; \ [2025-08-20T21:24:31.528Z] echo ""; echo "TESTING:"; \ [2025-08-20T21:24:31.528Z] "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//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 "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17557211464627/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-08-20T21:24:31.528Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17557211464627/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-08-20T21:24:31.528Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-08-20T21:24:31.528Z] echo "Nothing to be done for teardown."; \ [2025-08-20T21:24:31.528Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17557211464627/TestTargetResult"; [2025-08-20T21:24:31.528Z] [2025-08-20T21:24:31.528Z] TEST SETUP: [2025-08-20T21:24:31.528Z] Nothing to be done for setup. [2025-08-20T21:24:31.528Z] [2025-08-20T21:24:31.528Z] TESTING: [2025-08-20T21:24:49.373Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 3 (out of 3) threads. [2025-08-20T21:25:07.309Z] 14:25:04.233 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1866 KiB). The maximum recommended task size is 1000 KiB. [2025-08-20T21:25:12.309Z] Got 100004 ratings from 671 users on 9066 movies. [2025-08-20T21:25:15.735Z] Training: 60056, validation: 20285, test: 19854 [2025-08-20T21:25:15.735Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-08-20T21:25:15.735Z] GC before operation: completed in 358.148 ms, heap usage 423.434 MB -> 75.975 MB. [2025-08-20T21:25:42.528Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T21:26:00.950Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T21:26:16.460Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T21:26:29.847Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T21:26:37.570Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T21:26:45.209Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T21:26:54.241Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T21:27:01.615Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T21:27:02.219Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-08-20T21:27:02.707Z] The best model improves the baseline by 14.52%. [2025-08-20T21:27:03.202Z] Top recommended movies for user id 72: [2025-08-20T21:27:03.202Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-20T21:27:03.202Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-20T21:27:03.202Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-20T21:27:03.202Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-20T21:27:03.202Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-20T21:27:03.202Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (107577.495 ms) ====== [2025-08-20T21:27:03.202Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-08-20T21:27:03.678Z] GC before operation: completed in 562.207 ms, heap usage 157.685 MB -> 90.690 MB. [2025-08-20T21:27:16.773Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T21:27:31.998Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T21:27:46.820Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T21:27:59.464Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T21:28:06.767Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T21:28:15.544Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T21:28:23.370Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T21:28:32.317Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T21:28:32.794Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-08-20T21:28:32.794Z] The best model improves the baseline by 14.52%. [2025-08-20T21:28:33.263Z] Top recommended movies for user id 72: [2025-08-20T21:28:33.263Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-20T21:28:33.263Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-20T21:28:33.263Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-20T21:28:33.263Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-20T21:28:33.263Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-20T21:28:33.263Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (89531.563 ms) ====== [2025-08-20T21:28:33.263Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-08-20T21:28:33.736Z] GC before operation: completed in 384.118 ms, heap usage 161.489 MB -> 88.340 MB. [2025-08-20T21:28:48.416Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T21:29:01.322Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T21:29:16.478Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T21:29:28.995Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T21:29:37.430Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T21:29:46.445Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T21:29:53.509Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T21:30:01.837Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T21:30:02.916Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-08-20T21:30:02.916Z] The best model improves the baseline by 14.52%. [2025-08-20T21:30:03.388Z] Top recommended movies for user id 72: [2025-08-20T21:30:03.388Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-20T21:30:03.388Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-20T21:30:03.388Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-20T21:30:03.388Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-20T21:30:03.388Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-20T21:30:03.388Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (89635.788 ms) ====== [2025-08-20T21:30:03.388Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-08-20T21:30:03.851Z] GC before operation: completed in 274.688 ms, heap usage 155.286 MB -> 89.032 MB. [2025-08-20T21:30:19.381Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T21:30:31.960Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T21:30:47.101Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T21:30:57.748Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T21:31:06.570Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T21:31:15.192Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T21:31:23.802Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T21:31:32.462Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T21:31:32.902Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-08-20T21:31:33.402Z] The best model improves the baseline by 14.52%. [2025-08-20T21:31:33.800Z] Top recommended movies for user id 72: [2025-08-20T21:31:33.800Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-20T21:31:33.800Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-20T21:31:33.800Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-20T21:31:33.800Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-20T21:31:33.800Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-20T21:31:33.800Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (90060.450 ms) ====== [2025-08-20T21:31:33.800Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-08-20T21:31:34.365Z] GC before operation: completed in 280.472 ms, heap usage 152.559 MB -> 89.223 MB. [2025-08-20T21:31:46.611Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T21:31:57.258Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T21:32:09.876Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T21:32:21.814Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T21:32:29.570Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T21:32:36.738Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T21:32:43.919Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T21:32:50.306Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T21:32:50.805Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-08-20T21:32:51.264Z] The best model improves the baseline by 14.52%. [2025-08-20T21:32:51.687Z] Top recommended movies for user id 72: [2025-08-20T21:32:51.687Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-20T21:32:51.687Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-20T21:32:51.687Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-20T21:32:51.687Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-20T21:32:51.687Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-20T21:32:51.687Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (77488.503 ms) ====== [2025-08-20T21:32:51.687Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-08-20T21:32:52.177Z] GC before operation: completed in 381.772 ms, heap usage 350.550 MB -> 89.413 MB. [2025-08-20T21:33:06.815Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T21:33:19.316Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T21:33:31.958Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T21:33:44.519Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T21:33:50.425Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T21:33:56.315Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T21:34:03.753Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T21:34:09.980Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T21:34:10.477Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-08-20T21:34:10.477Z] The best model improves the baseline by 14.52%. [2025-08-20T21:34:10.924Z] Top recommended movies for user id 72: [2025-08-20T21:34:10.924Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-20T21:34:10.924Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-20T21:34:10.924Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-20T21:34:10.924Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-20T21:34:10.924Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-20T21:34:10.924Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (78817.356 ms) ====== [2025-08-20T21:34:10.924Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-08-20T21:34:10.924Z] GC before operation: completed in 333.895 ms, heap usage 1.172 GB -> 95.499 MB. [2025-08-20T21:34:25.893Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T21:34:38.498Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T21:34:50.967Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T21:35:03.627Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T21:35:08.759Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T21:35:16.037Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T21:35:23.329Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T21:35:30.436Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T21:35:30.826Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-08-20T21:35:30.826Z] The best model improves the baseline by 14.52%. [2025-08-20T21:35:31.387Z] Top recommended movies for user id 72: [2025-08-20T21:35:31.387Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-20T21:35:31.387Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-20T21:35:31.387Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-20T21:35:31.387Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-20T21:35:31.387Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-20T21:35:31.387Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (80308.160 ms) ====== [2025-08-20T21:35:31.387Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-08-20T21:35:32.577Z] GC before operation: completed in 340.387 ms, heap usage 243.555 MB -> 89.612 MB. [2025-08-20T21:35:45.269Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T21:35:57.903Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T21:36:08.963Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T21:36:19.599Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T21:36:25.383Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T21:36:31.084Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T21:36:38.198Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T21:36:45.500Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T21:36:46.600Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-08-20T21:36:47.108Z] The best model improves the baseline by 14.52%. [2025-08-20T21:36:47.108Z] Top recommended movies for user id 72: [2025-08-20T21:36:47.108Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-20T21:36:47.108Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-20T21:36:47.108Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-20T21:36:47.108Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-20T21:36:47.108Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-20T21:36:47.108Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (75499.686 ms) ====== [2025-08-20T21:36:47.108Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-08-20T21:36:47.799Z] GC before operation: completed in 397.270 ms, heap usage 406.940 MB -> 90.103 MB. [2025-08-20T21:37:00.358Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T21:37:13.031Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T21:37:24.059Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T21:37:34.705Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T21:37:41.622Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T21:37:47.661Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T21:37:56.363Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T21:38:03.982Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T21:38:03.982Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-08-20T21:38:04.397Z] The best model improves the baseline by 14.52%. [2025-08-20T21:38:04.841Z] Top recommended movies for user id 72: [2025-08-20T21:38:04.841Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-20T21:38:04.841Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-20T21:38:04.841Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-20T21:38:04.841Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-20T21:38:04.841Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-20T21:38:04.841Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (77121.815 ms) ====== [2025-08-20T21:38:04.841Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-08-20T21:38:05.843Z] GC before operation: completed in 508.045 ms, heap usage 950.382 MB -> 94.608 MB. [2025-08-20T21:38:16.412Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T21:38:31.060Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T21:38:41.875Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T21:38:52.493Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T21:38:59.377Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T21:39:05.666Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T21:39:12.779Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T21:39:18.861Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T21:39:20.013Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-08-20T21:39:20.013Z] The best model improves the baseline by 14.52%. [2025-08-20T21:39:20.554Z] Top recommended movies for user id 72: [2025-08-20T21:39:20.554Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-20T21:39:20.554Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-20T21:39:20.554Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-20T21:39:20.554Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-20T21:39:20.554Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-20T21:39:20.554Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (74943.525 ms) ====== [2025-08-20T21:39:20.554Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-08-20T21:39:21.604Z] GC before operation: completed in 440.471 ms, heap usage 411.756 MB -> 90.201 MB. [2025-08-20T21:39:36.314Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T21:39:47.159Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T21:39:57.441Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T21:40:08.067Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T21:40:15.053Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T21:40:22.167Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T21:40:30.909Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T21:40:36.988Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T21:40:38.049Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-08-20T21:40:38.049Z] The best model improves the baseline by 14.52%. [2025-08-20T21:40:38.049Z] Top recommended movies for user id 72: [2025-08-20T21:40:38.049Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-20T21:40:38.049Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-20T21:40:38.049Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-20T21:40:38.049Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-20T21:40:38.049Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-20T21:40:38.049Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (77408.990 ms) ====== [2025-08-20T21:40:38.049Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-08-20T21:40:38.619Z] GC before operation: completed in 549.809 ms, heap usage 823.362 MB -> 94.100 MB. [2025-08-20T21:40:51.470Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T21:41:04.298Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T21:41:14.997Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T21:41:27.722Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T21:41:32.445Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T21:41:38.334Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T21:41:45.936Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T21:41:50.333Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T21:41:51.538Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-08-20T21:41:51.538Z] The best model improves the baseline by 14.52%. [2025-08-20T21:41:51.538Z] Top recommended movies for user id 72: [2025-08-20T21:41:51.538Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-20T21:41:51.538Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-20T21:41:51.538Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-20T21:41:51.538Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-20T21:41:51.538Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-20T21:41:51.538Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (73031.105 ms) ====== [2025-08-20T21:41:51.538Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-08-20T21:41:52.202Z] GC before operation: completed in 339.127 ms, heap usage 909.326 MB -> 94.677 MB. [2025-08-20T21:42:04.690Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T21:42:15.004Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T21:42:25.764Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T21:42:36.752Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T21:42:43.816Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T21:42:51.436Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T21:42:58.751Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T21:43:05.872Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T21:43:06.362Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-08-20T21:43:06.362Z] The best model improves the baseline by 14.52%. [2025-08-20T21:43:06.362Z] Top recommended movies for user id 72: [2025-08-20T21:43:06.362Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-20T21:43:06.362Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-20T21:43:06.362Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-20T21:43:06.362Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-20T21:43:06.362Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-20T21:43:06.362Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (74552.493 ms) ====== [2025-08-20T21:43:06.362Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-08-20T21:43:06.825Z] GC before operation: completed in 357.131 ms, heap usage 634.403 MB -> 93.814 MB. [2025-08-20T21:43:19.630Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T21:43:31.904Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T21:43:44.788Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T21:43:53.764Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T21:44:02.313Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T21:44:08.332Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T21:44:15.548Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T21:44:20.480Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T21:44:21.547Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-08-20T21:44:21.547Z] The best model improves the baseline by 14.52%. [2025-08-20T21:44:21.984Z] Top recommended movies for user id 72: [2025-08-20T21:44:21.984Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-20T21:44:21.984Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-20T21:44:21.984Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-20T21:44:21.984Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-20T21:44:21.984Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-20T21:44:21.984Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (74925.488 ms) ====== [2025-08-20T21:44:21.984Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-08-20T21:44:22.394Z] GC before operation: completed in 341.394 ms, heap usage 434.810 MB -> 90.080 MB. [2025-08-20T21:44:37.093Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T21:44:45.861Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T21:44:56.226Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T21:45:08.385Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T21:45:15.262Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T21:45:24.046Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T21:45:31.506Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T21:45:36.264Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T21:45:37.698Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-08-20T21:45:37.698Z] The best model improves the baseline by 14.52%. [2025-08-20T21:45:39.383Z] Top recommended movies for user id 72: [2025-08-20T21:45:39.384Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-20T21:45:39.384Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-20T21:45:39.384Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-20T21:45:39.384Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-20T21:45:39.384Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-20T21:45:39.384Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (75936.656 ms) ====== [2025-08-20T21:45:39.384Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-08-20T21:45:39.384Z] GC before operation: completed in 558.398 ms, heap usage 849.673 MB -> 94.589 MB. [2025-08-20T21:45:51.674Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T21:46:04.141Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T21:46:14.675Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T21:46:24.793Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T21:46:31.750Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T21:46:37.607Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T21:46:44.283Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T21:46:50.304Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T21:46:50.739Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-08-20T21:46:50.739Z] The best model improves the baseline by 14.52%. [2025-08-20T21:46:51.327Z] Top recommended movies for user id 72: [2025-08-20T21:46:51.327Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-20T21:46:51.327Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-20T21:46:51.327Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-20T21:46:51.327Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-20T21:46:51.327Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-20T21:46:51.327Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (72396.754 ms) ====== [2025-08-20T21:46:51.327Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-08-20T21:46:52.345Z] GC before operation: completed in 960.090 ms, heap usage 686.645 MB -> 93.614 MB. [2025-08-20T21:47:07.451Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T21:47:19.811Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T21:47:30.337Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T21:47:40.854Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T21:47:46.856Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T21:47:53.763Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T21:47:59.522Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T21:48:06.654Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T21:48:07.130Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-08-20T21:48:07.130Z] The best model improves the baseline by 14.52%. [2025-08-20T21:48:07.130Z] Top recommended movies for user id 72: [2025-08-20T21:48:07.130Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-20T21:48:07.130Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-20T21:48:07.130Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-20T21:48:07.130Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-20T21:48:07.130Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-20T21:48:07.130Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (75162.317 ms) ====== [2025-08-20T21:48:07.130Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-08-20T21:48:07.671Z] GC before operation: completed in 300.393 ms, heap usage 570.627 MB -> 93.675 MB. [2025-08-20T21:48:20.005Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T21:48:30.305Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T21:48:42.869Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T21:48:53.882Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T21:48:59.796Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T21:49:08.539Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T21:49:15.789Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T21:49:22.033Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T21:49:23.581Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-08-20T21:49:23.581Z] The best model improves the baseline by 14.52%. [2025-08-20T21:49:24.103Z] Top recommended movies for user id 72: [2025-08-20T21:49:24.103Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-20T21:49:24.103Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-20T21:49:24.103Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-20T21:49:24.103Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-20T21:49:24.103Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-20T21:49:24.103Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (76734.754 ms) ====== [2025-08-20T21:49:24.103Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-08-20T21:49:24.604Z] GC before operation: completed in 397.916 ms, heap usage 1.377 GB -> 95.796 MB. [2025-08-20T21:49:39.687Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T21:49:51.924Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T21:50:02.498Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T21:50:14.859Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T21:50:19.780Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T21:50:25.546Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T21:50:32.630Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T21:50:40.179Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T21:50:40.645Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-08-20T21:50:40.645Z] The best model improves the baseline by 14.52%. [2025-08-20T21:50:41.150Z] Top recommended movies for user id 72: [2025-08-20T21:50:41.150Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-20T21:50:41.150Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-20T21:50:41.150Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-20T21:50:41.150Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-20T21:50:41.150Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-20T21:50:41.150Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (76421.685 ms) ====== [2025-08-20T21:50:41.150Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-08-20T21:50:41.605Z] GC before operation: completed in 433.028 ms, heap usage 677.918 MB -> 93.716 MB. [2025-08-20T21:50:53.887Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T21:51:04.615Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T21:51:17.347Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T21:51:27.763Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T21:51:33.613Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T21:51:39.779Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T21:51:46.608Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T21:51:52.366Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T21:51:52.366Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-08-20T21:51:52.760Z] The best model improves the baseline by 14.52%. [2025-08-20T21:51:53.165Z] Top recommended movies for user id 72: [2025-08-20T21:51:53.165Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-20T21:51:53.165Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-20T21:51:53.165Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-20T21:51:53.165Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-20T21:51:53.165Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-20T21:51:53.165Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (71504.889 ms) ====== [2025-08-20T21:51:55.758Z] ----------------------------------- [2025-08-20T21:51:55.758Z] renaissance-movie-lens_0_PASSED [2025-08-20T21:51:55.758Z] ----------------------------------- [2025-08-20T21:51:55.758Z] [2025-08-20T21:51:55.758Z] TEST TEARDOWN: [2025-08-20T21:51:55.758Z] Nothing to be done for teardown. [2025-08-20T21:51:55.758Z] renaissance-movie-lens_0 Finish Time: Wed Aug 20 14:51:55 2025 Epoch Time (ms): 1755726715342