[2025-06-27T00:28:57.219Z] Running test renaissance-movie-lens_0 ... [2025-06-27T00:28:57.219Z] =============================================== [2025-06-27T00:28:57.219Z] renaissance-movie-lens_0 Start Time: Thu Jun 26 17:28:56 2025 Epoch Time (ms): 1750984136258 [2025-06-27T00:28:57.219Z] variation: NoOptions [2025-06-27T00:28:57.219Z] JVM_OPTIONS: [2025-06-27T00:28:57.219Z] { \ [2025-06-27T00:28:57.219Z] echo ""; echo "TEST SETUP:"; \ [2025-06-27T00:28:57.219Z] echo "Nothing to be done for setup."; \ [2025-06-27T00:28:57.219Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17509808395943/renaissance-movie-lens_0"; \ [2025-06-27T00:28:57.219Z] cd "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17509808395943/renaissance-movie-lens_0"; \ [2025-06-27T00:28:57.219Z] echo ""; echo "TESTING:"; \ [2025-06-27T00:28:57.219Z] "/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_17509808395943/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-06-27T00:28:57.219Z] 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_17509808395943/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-06-27T00:28:57.219Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-06-27T00:28:57.219Z] echo "Nothing to be done for teardown."; \ [2025-06-27T00:28:57.219Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17509808395943/TestTargetResult"; [2025-06-27T00:28:57.219Z] [2025-06-27T00:28:57.219Z] TEST SETUP: [2025-06-27T00:28:57.219Z] Nothing to be done for setup. [2025-06-27T00:28:57.219Z] [2025-06-27T00:28:57.219Z] TESTING: [2025-06-27T00:29:14.992Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 3 (out of 3) threads. [2025-06-27T00:29:36.452Z] 17:29:33.500 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. [2025-06-27T00:29:39.672Z] Got 100004 ratings from 671 users on 9066 movies. [2025-06-27T00:29:42.166Z] Training: 60056, validation: 20285, test: 19854 [2025-06-27T00:29:42.166Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-06-27T00:29:42.166Z] GC before operation: completed in 355.025 ms, heap usage 326.273 MB -> 75.764 MB. [2025-06-27T00:30:08.432Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T00:30:24.122Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T00:30:39.433Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T00:30:52.082Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T00:30:59.568Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T00:31:07.031Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T00:31:17.656Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T00:31:23.996Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T00:31:25.042Z] 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. [2025-06-27T00:31:25.042Z] The best model improves the baseline by 14.52%. [2025-06-27T00:31:25.926Z] Top recommended movies for user id 72: [2025-06-27T00:31:25.926Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-27T00:31:25.926Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-27T00:31:25.926Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-27T00:31:25.926Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-27T00:31:25.926Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-27T00:31:25.926Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (103904.165 ms) ====== [2025-06-27T00:31:25.926Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-06-27T00:31:26.336Z] GC before operation: completed in 422.649 ms, heap usage 712.786 MB -> 92.392 MB. [2025-06-27T00:31:41.436Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T00:31:50.697Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T00:32:03.174Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T00:32:13.646Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T00:32:19.481Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T00:32:27.067Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T00:32:33.221Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T00:32:38.881Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T00:32:40.079Z] 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. [2025-06-27T00:32:40.079Z] The best model improves the baseline by 14.52%. [2025-06-27T00:32:40.592Z] Top recommended movies for user id 72: [2025-06-27T00:32:40.592Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-27T00:32:40.592Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-27T00:32:40.592Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-27T00:32:40.592Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-27T00:32:40.592Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-27T00:32:40.592Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (74077.396 ms) ====== [2025-06-27T00:32:40.592Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-06-27T00:32:41.016Z] GC before operation: completed in 440.395 ms, heap usage 347.301 MB -> 88.437 MB. [2025-06-27T00:32:53.251Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T00:33:03.847Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T00:33:16.464Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T00:33:28.887Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T00:33:37.655Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T00:33:45.053Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T00:33:51.131Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T00:34:00.093Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T00:34:00.093Z] 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. [2025-06-27T00:34:00.093Z] The best model improves the baseline by 14.52%. [2025-06-27T00:34:00.937Z] Top recommended movies for user id 72: [2025-06-27T00:34:00.937Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-27T00:34:00.937Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-27T00:34:00.937Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-27T00:34:00.937Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-27T00:34:00.937Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-27T00:34:00.937Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (79918.561 ms) ====== [2025-06-27T00:34:00.937Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-06-27T00:34:01.390Z] GC before operation: completed in 389.961 ms, heap usage 247.224 MB -> 88.859 MB. [2025-06-27T00:34:16.603Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T00:34:27.436Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T00:34:39.720Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T00:34:50.446Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T00:34:56.576Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T00:35:04.744Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T00:35:11.238Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T00:35:17.168Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T00:35:18.419Z] 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. [2025-06-27T00:35:18.419Z] The best model improves the baseline by 14.52%. [2025-06-27T00:35:18.959Z] Top recommended movies for user id 72: [2025-06-27T00:35:18.959Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-27T00:35:18.959Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-27T00:35:18.959Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-27T00:35:18.959Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-27T00:35:18.959Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-27T00:35:18.959Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (77811.029 ms) ====== [2025-06-27T00:35:18.959Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-06-27T00:35:19.382Z] GC before operation: completed in 416.628 ms, heap usage 452.842 MB -> 89.538 MB. [2025-06-27T00:35:32.002Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T00:35:42.645Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T00:35:55.327Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T00:36:05.830Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T00:36:11.173Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T00:36:18.377Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T00:36:26.941Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T00:36:33.293Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T00:36:34.438Z] 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. [2025-06-27T00:36:34.438Z] The best model improves the baseline by 14.52%. [2025-06-27T00:36:34.972Z] Top recommended movies for user id 72: [2025-06-27T00:36:34.972Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-27T00:36:34.972Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-27T00:36:34.972Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-27T00:36:34.972Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-27T00:36:34.972Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-27T00:36:34.973Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (75502.829 ms) ====== [2025-06-27T00:36:34.973Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-06-27T00:36:35.682Z] GC before operation: completed in 457.319 ms, heap usage 346.225 MB -> 89.309 MB. [2025-06-27T00:36:51.240Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T00:37:03.460Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T00:37:14.081Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T00:37:26.977Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T00:37:34.662Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T00:37:40.833Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T00:37:51.105Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T00:37:56.741Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T00:37:57.698Z] 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. [2025-06-27T00:37:57.698Z] The best model improves the baseline by 14.52%. [2025-06-27T00:37:58.735Z] Top recommended movies for user id 72: [2025-06-27T00:37:58.735Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-27T00:37:58.735Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-27T00:37:58.735Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-27T00:37:58.735Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-27T00:37:58.735Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-27T00:37:58.735Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (83052.998 ms) ====== [2025-06-27T00:37:58.735Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-06-27T00:37:58.735Z] GC before operation: completed in 297.758 ms, heap usage 568.759 MB -> 93.174 MB. [2025-06-27T00:38:11.790Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T00:38:27.067Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T00:38:39.844Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T00:38:52.218Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T00:38:57.246Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T00:39:03.580Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T00:39:12.493Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T00:39:17.241Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T00:39:17.800Z] 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. [2025-06-27T00:39:17.800Z] The best model improves the baseline by 14.52%. [2025-06-27T00:39:19.097Z] Top recommended movies for user id 72: [2025-06-27T00:39:19.097Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-27T00:39:19.097Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-27T00:39:19.097Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-27T00:39:19.097Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-27T00:39:19.097Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-27T00:39:19.097Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (80530.164 ms) ====== [2025-06-27T00:39:19.097Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-06-27T00:39:19.676Z] GC before operation: completed in 332.074 ms, heap usage 196.225 MB -> 89.376 MB. [2025-06-27T00:39:32.121Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T00:39:39.392Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T00:39:49.489Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T00:39:57.222Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T00:40:01.948Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T00:40:06.743Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T00:40:13.090Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T00:40:17.822Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T00:40:18.852Z] 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. [2025-06-27T00:40:18.852Z] The best model improves the baseline by 14.52%. [2025-06-27T00:40:19.281Z] Top recommended movies for user id 72: [2025-06-27T00:40:19.281Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-27T00:40:19.281Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-27T00:40:19.281Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-27T00:40:19.281Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-27T00:40:19.281Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-27T00:40:19.281Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (59684.399 ms) ====== [2025-06-27T00:40:19.281Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-06-27T00:40:19.673Z] GC before operation: completed in 366.958 ms, heap usage 346.743 MB -> 89.853 MB. [2025-06-27T00:40:29.957Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T00:40:39.991Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T00:40:53.078Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T00:41:02.223Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T00:41:07.035Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T00:41:14.340Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T00:41:21.457Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T00:41:27.686Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T00:41:30.003Z] 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. [2025-06-27T00:41:30.003Z] The best model improves the baseline by 14.52%. [2025-06-27T00:41:30.552Z] Top recommended movies for user id 72: [2025-06-27T00:41:30.552Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-27T00:41:30.552Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-27T00:41:30.552Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-27T00:41:30.552Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-27T00:41:30.552Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-27T00:41:30.552Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (70537.654 ms) ====== [2025-06-27T00:41:30.552Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-06-27T00:41:30.552Z] GC before operation: completed in 281.759 ms, heap usage 441.801 MB -> 89.932 MB. [2025-06-27T00:41:40.903Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T00:41:53.485Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T00:42:06.194Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T00:42:19.128Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T00:42:25.439Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T00:42:30.312Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T00:42:37.502Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T00:42:44.291Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T00:42:45.223Z] 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. [2025-06-27T00:42:45.223Z] The best model improves the baseline by 14.52%. [2025-06-27T00:42:45.854Z] Top recommended movies for user id 72: [2025-06-27T00:42:45.854Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-27T00:42:45.854Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-27T00:42:45.854Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-27T00:42:45.854Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-27T00:42:45.854Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-27T00:42:45.854Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (74923.942 ms) ====== [2025-06-27T00:42:45.854Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-06-27T00:42:45.854Z] GC before operation: completed in 279.361 ms, heap usage 972.349 MB -> 94.838 MB. [2025-06-27T00:42:58.505Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T00:43:11.111Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T00:43:23.440Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T00:43:33.725Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T00:43:40.769Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T00:43:46.934Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T00:43:54.155Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T00:44:00.087Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T00:44:00.087Z] 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. [2025-06-27T00:44:00.087Z] The best model improves the baseline by 14.52%. [2025-06-27T00:44:00.553Z] Top recommended movies for user id 72: [2025-06-27T00:44:00.553Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-27T00:44:00.553Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-27T00:44:00.553Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-27T00:44:00.553Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-27T00:44:00.553Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-27T00:44:00.553Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (74799.746 ms) ====== [2025-06-27T00:44:00.553Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-06-27T00:44:01.119Z] GC before operation: completed in 493.985 ms, heap usage 673.741 MB -> 93.353 MB. [2025-06-27T00:44:16.540Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T00:44:27.061Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T00:44:37.739Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T00:44:50.370Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T00:44:56.591Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T00:45:02.455Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T00:45:08.389Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T00:45:15.869Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T00:45:17.012Z] 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. [2025-06-27T00:45:17.012Z] The best model improves the baseline by 14.52%. [2025-06-27T00:45:18.139Z] Top recommended movies for user id 72: [2025-06-27T00:45:18.139Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-27T00:45:18.139Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-27T00:45:18.139Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-27T00:45:18.139Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-27T00:45:18.139Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-27T00:45:18.139Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (76540.807 ms) ====== [2025-06-27T00:45:18.139Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-06-27T00:45:18.139Z] GC before operation: completed in 410.709 ms, heap usage 404.256 MB -> 90.050 MB. [2025-06-27T00:45:30.961Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T00:45:43.593Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T00:45:54.140Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T00:46:02.927Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T00:46:08.883Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T00:46:16.139Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T00:46:21.906Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T00:46:26.513Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T00:46:26.991Z] 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. [2025-06-27T00:46:26.991Z] The best model improves the baseline by 14.52%. [2025-06-27T00:46:28.095Z] Top recommended movies for user id 72: [2025-06-27T00:46:28.095Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-27T00:46:28.095Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-27T00:46:28.095Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-27T00:46:28.095Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-27T00:46:28.095Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-27T00:46:28.095Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (70006.260 ms) ====== [2025-06-27T00:46:28.095Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-06-27T00:46:28.513Z] GC before operation: completed in 434.465 ms, heap usage 261.285 MB -> 89.932 MB. [2025-06-27T00:46:38.841Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T00:46:47.730Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T00:46:56.239Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T00:47:05.005Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T00:47:10.774Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T00:47:15.459Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T00:47:20.124Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T00:47:25.288Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T00:47:25.757Z] 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. [2025-06-27T00:47:25.757Z] The best model improves the baseline by 14.52%. [2025-06-27T00:47:26.193Z] Top recommended movies for user id 72: [2025-06-27T00:47:26.193Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-27T00:47:26.193Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-27T00:47:26.193Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-27T00:47:26.193Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-27T00:47:26.193Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-27T00:47:26.193Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (57706.187 ms) ====== [2025-06-27T00:47:26.193Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-06-27T00:47:26.924Z] GC before operation: completed in 362.413 ms, heap usage 192.273 MB -> 93.246 MB. [2025-06-27T00:47:36.780Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T00:47:49.169Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T00:48:00.423Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T00:48:11.701Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T00:48:18.834Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T00:48:26.009Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T00:48:33.369Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T00:48:39.092Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T00:48:40.672Z] 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. [2025-06-27T00:48:40.672Z] The best model improves the baseline by 14.52%. [2025-06-27T00:48:41.174Z] Top recommended movies for user id 72: [2025-06-27T00:48:41.174Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-27T00:48:41.174Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-27T00:48:41.174Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-27T00:48:41.174Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-27T00:48:41.174Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-27T00:48:41.174Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (74348.053 ms) ====== [2025-06-27T00:48:41.174Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-06-27T00:48:41.629Z] GC before operation: completed in 619.174 ms, heap usage 449.977 MB -> 90.244 MB. [2025-06-27T00:48:56.737Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T00:49:07.128Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T00:49:20.111Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T00:49:28.771Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T00:49:34.405Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T00:49:41.765Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T00:49:47.965Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T00:49:55.852Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T00:49:56.287Z] 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. [2025-06-27T00:49:56.287Z] The best model improves the baseline by 14.52%. [2025-06-27T00:49:57.696Z] Top recommended movies for user id 72: [2025-06-27T00:49:57.696Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-27T00:49:57.696Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-27T00:49:57.696Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-27T00:49:57.696Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-27T00:49:57.696Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-27T00:49:57.696Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (76040.854 ms) ====== [2025-06-27T00:49:57.696Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-06-27T00:49:57.696Z] GC before operation: completed in 414.937 ms, heap usage 170.659 MB -> 89.705 MB. [2025-06-27T00:50:10.154Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T00:50:20.704Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T00:50:31.274Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T00:50:44.108Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T00:50:49.876Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T00:50:54.533Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T00:51:00.476Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T00:51:06.604Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T00:51:08.256Z] 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. [2025-06-27T00:51:08.256Z] The best model improves the baseline by 14.52%. [2025-06-27T00:51:08.256Z] Top recommended movies for user id 72: [2025-06-27T00:51:08.256Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-27T00:51:08.256Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-27T00:51:08.256Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-27T00:51:08.256Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-27T00:51:08.256Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-27T00:51:08.256Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (70332.873 ms) ====== [2025-06-27T00:51:08.256Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-06-27T00:51:08.741Z] GC before operation: completed in 405.085 ms, heap usage 443.664 MB -> 90.255 MB. [2025-06-27T00:51:21.261Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T00:51:31.798Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T00:51:44.189Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T00:51:54.855Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T00:52:02.256Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T00:52:11.143Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T00:52:17.052Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T00:52:25.785Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T00:52:26.402Z] 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. [2025-06-27T00:52:26.402Z] The best model improves the baseline by 14.52%. [2025-06-27T00:52:26.402Z] Top recommended movies for user id 72: [2025-06-27T00:52:26.402Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-27T00:52:26.402Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-27T00:52:26.402Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-27T00:52:26.402Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-27T00:52:26.402Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-27T00:52:26.402Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (77798.170 ms) ====== [2025-06-27T00:52:26.402Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-06-27T00:52:27.086Z] GC before operation: completed in 446.032 ms, heap usage 696.745 MB -> 95.335 MB. [2025-06-27T00:52:40.117Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T00:52:50.763Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T00:53:03.205Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T00:53:12.561Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T00:53:17.242Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T00:53:24.848Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T00:53:30.712Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T00:53:36.542Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T00:53:36.938Z] 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. [2025-06-27T00:53:37.440Z] The best model improves the baseline by 14.52%. [2025-06-27T00:53:37.440Z] Top recommended movies for user id 72: [2025-06-27T00:53:37.440Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-27T00:53:37.440Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-27T00:53:37.440Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-27T00:53:37.440Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-27T00:53:37.440Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-27T00:53:37.441Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (70611.502 ms) ====== [2025-06-27T00:53:37.441Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-06-27T00:53:37.914Z] GC before operation: completed in 292.972 ms, heap usage 640.906 MB -> 93.617 MB. [2025-06-27T00:53:50.862Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T00:54:03.609Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T00:54:16.283Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T00:54:25.396Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T00:54:31.903Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T00:54:37.650Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T00:54:45.528Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T00:54:51.615Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T00:54:52.019Z] 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. [2025-06-27T00:54:52.019Z] The best model improves the baseline by 14.52%. [2025-06-27T00:54:52.555Z] Top recommended movies for user id 72: [2025-06-27T00:54:52.555Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-06-27T00:54:52.555Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-06-27T00:54:52.555Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-06-27T00:54:52.555Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-06-27T00:54:52.555Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-06-27T00:54:52.555Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (74670.051 ms) ====== [2025-06-27T00:54:56.355Z] ----------------------------------- [2025-06-27T00:54:56.355Z] renaissance-movie-lens_0_PASSED [2025-06-27T00:54:56.355Z] ----------------------------------- [2025-06-27T00:54:56.355Z] [2025-06-27T00:54:56.355Z] TEST TEARDOWN: [2025-06-27T00:54:56.355Z] Nothing to be done for teardown. [2025-06-27T00:54:56.355Z] renaissance-movie-lens_0 Finish Time: Thu Jun 26 17:54:55 2025 Epoch Time (ms): 1750985695463