renaissance-movie-lens_0
[2025-08-30T01:13:09.962Z] Running test renaissance-movie-lens_0 ...
[2025-08-30T01:13:09.962Z] ===============================================
[2025-08-30T01:13:09.962Z] renaissance-movie-lens_0 Start Time: Fri Aug 29 18:13:09 2025 Epoch Time (ms): 1756516389439
[2025-08-30T01:13:09.962Z] variation: NoOptions
[2025-08-30T01:13:09.962Z] JVM_OPTIONS:
[2025-08-30T01:13:09.962Z] { \
[2025-08-30T01:13:09.962Z] echo ""; echo "TEST SETUP:"; \
[2025-08-30T01:13:09.962Z] echo "Nothing to be done for setup."; \
[2025-08-30T01:13:09.962Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17565123298003/renaissance-movie-lens_0"; \
[2025-08-30T01:13:09.962Z] cd "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17565123298003/renaissance-movie-lens_0"; \
[2025-08-30T01:13:09.962Z] echo ""; echo "TESTING:"; \
[2025-08-30T01:13:09.962Z] "/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_17565123298003/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-08-30T01:13:09.962Z] 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_17565123298003/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-08-30T01:13:09.962Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-08-30T01:13:09.962Z] echo "Nothing to be done for teardown."; \
[2025-08-30T01:13:09.962Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17565123298003/TestTargetResult";
[2025-08-30T01:13:09.962Z]
[2025-08-30T01:13:09.962Z] TEST SETUP:
[2025-08-30T01:13:09.962Z] Nothing to be done for setup.
[2025-08-30T01:13:09.962Z]
[2025-08-30T01:13:09.962Z] TESTING:
[2025-08-30T01:13:24.675Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 3 (out of 3) threads.
[2025-08-30T01:13:42.020Z] 18:13:39.247 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1866 KiB). The maximum recommended task size is 1000 KiB.
[2025-08-30T01:13:44.425Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-08-30T01:13:45.951Z] Training: 60056, validation: 20285, test: 19854
[2025-08-30T01:13:45.951Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-08-30T01:13:46.380Z] GC before operation: completed in 293.329 ms, heap usage 284.248 MB -> 75.985 MB.
[2025-08-30T01:14:08.145Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T01:14:23.462Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T01:14:36.009Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T01:14:49.382Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T01:14:56.783Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T01:15:04.357Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T01:15:12.000Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T01:15:18.115Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T01:15:19.715Z] 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.
[2025-08-30T01:15:19.715Z] The best model improves the baseline by 14.52%.
[2025-08-30T01:15:20.144Z] Top recommended movies for user id 72:
[2025-08-30T01:15:20.144Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-30T01:15:20.144Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-30T01:15:20.144Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-30T01:15:20.144Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-30T01:15:20.144Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-30T01:15:20.144Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (93857.772 ms) ======
[2025-08-30T01:15:20.144Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-08-30T01:15:20.713Z] GC before operation: completed in 280.463 ms, heap usage 578.948 MB -> 94.579 MB.
[2025-08-30T01:15:33.082Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T01:15:45.686Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T01:15:57.887Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T01:16:09.734Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T01:16:15.591Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T01:16:21.451Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T01:16:30.110Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T01:16:37.345Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T01:16:38.378Z] 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.
[2025-08-30T01:16:38.378Z] The best model improves the baseline by 14.52%.
[2025-08-30T01:16:38.871Z] Top recommended movies for user id 72:
[2025-08-30T01:16:38.871Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-30T01:16:38.871Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-30T01:16:38.871Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-30T01:16:38.871Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-30T01:16:38.871Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-30T01:16:38.871Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (78322.480 ms) ======
[2025-08-30T01:16:38.871Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-08-30T01:16:39.298Z] GC before operation: completed in 591.360 ms, heap usage 577.328 MB -> 92.035 MB.
[2025-08-30T01:16:51.980Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T01:17:04.477Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T01:17:19.062Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T01:17:30.923Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T01:17:39.364Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T01:17:45.017Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T01:17:51.040Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T01:17:58.605Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T01:17:59.699Z] 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.
[2025-08-30T01:17:59.699Z] The best model improves the baseline by 14.52%.
[2025-08-30T01:18:00.331Z] Top recommended movies for user id 72:
[2025-08-30T01:18:00.331Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-30T01:18:00.331Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-30T01:18:00.331Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-30T01:18:00.331Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-30T01:18:00.331Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-30T01:18:00.331Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (80993.186 ms) ======
[2025-08-30T01:18:00.331Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-08-30T01:18:00.815Z] GC before operation: completed in 398.400 ms, heap usage 404.912 MB -> 89.152 MB.
[2025-08-30T01:18:13.542Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T01:18:25.729Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T01:18:40.049Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T01:18:52.321Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T01:18:57.849Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T01:19:04.845Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T01:19:12.008Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T01:19:17.825Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T01:19:19.065Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983.
[2025-08-30T01:19:19.065Z] The best model improves the baseline by 14.52%.
[2025-08-30T01:19:19.972Z] Top recommended movies for user id 72:
[2025-08-30T01:19:19.972Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-30T01:19:19.972Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-30T01:19:19.972Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-30T01:19:19.972Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-30T01:19:19.972Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-30T01:19:19.972Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (78627.260 ms) ======
[2025-08-30T01:19:19.972Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-08-30T01:19:19.972Z] GC before operation: completed in 430.563 ms, heap usage 885.545 MB -> 94.000 MB.
[2025-08-30T01:19:32.435Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T01:19:45.102Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T01:19:55.028Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T01:20:05.308Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T01:20:10.296Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T01:20:17.398Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T01:20:22.180Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T01:20:29.186Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T01:20:30.159Z] 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.
[2025-08-30T01:20:30.159Z] The best model improves the baseline by 14.52%.
[2025-08-30T01:20:30.616Z] Top recommended movies for user id 72:
[2025-08-30T01:20:30.616Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-30T01:20:30.616Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-30T01:20:30.616Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-30T01:20:30.616Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-30T01:20:30.616Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-30T01:20:30.616Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (70511.010 ms) ======
[2025-08-30T01:20:30.616Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-08-30T01:20:30.616Z] GC before operation: completed in 354.077 ms, heap usage 1.087 GB -> 94.759 MB.
[2025-08-30T01:20:45.639Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T01:20:58.373Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T01:21:09.025Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T01:21:19.058Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T01:21:26.144Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T01:21:30.675Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T01:21:37.800Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T01:21:46.256Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T01:21:46.692Z] 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.
[2025-08-30T01:21:46.692Z] The best model improves the baseline by 14.52%.
[2025-08-30T01:21:47.132Z] Top recommended movies for user id 72:
[2025-08-30T01:21:47.132Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-30T01:21:47.132Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-30T01:21:47.132Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-30T01:21:47.132Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-30T01:21:47.132Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-30T01:21:47.132Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (76186.813 ms) ======
[2025-08-30T01:21:47.132Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-08-30T01:21:47.133Z] GC before operation: completed in 253.742 ms, heap usage 173.849 MB -> 89.532 MB.
[2025-08-30T01:22:01.689Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T01:22:12.564Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T01:22:24.891Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T01:22:39.435Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T01:22:46.829Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T01:22:54.134Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T01:23:02.556Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T01:23:09.649Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T01:23:10.848Z] 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.
[2025-08-30T01:23:10.848Z] The best model improves the baseline by 14.52%.
[2025-08-30T01:23:11.919Z] Top recommended movies for user id 72:
[2025-08-30T01:23:11.919Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-30T01:23:11.919Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-30T01:23:11.919Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-30T01:23:11.919Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-30T01:23:11.919Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-30T01:23:11.919Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (84648.263 ms) ======
[2025-08-30T01:23:11.919Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-08-30T01:23:12.436Z] GC before operation: completed in 364.388 ms, heap usage 153.152 MB -> 89.423 MB.
[2025-08-30T01:23:25.188Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T01:23:35.434Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T01:23:45.462Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T01:23:55.529Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T01:24:04.261Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T01:24:09.888Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T01:24:18.395Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T01:24:25.404Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T01:24:25.900Z] 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.
[2025-08-30T01:24:26.322Z] The best model improves the baseline by 14.52%.
[2025-08-30T01:24:26.793Z] Top recommended movies for user id 72:
[2025-08-30T01:24:26.793Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-30T01:24:26.793Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-30T01:24:26.793Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-30T01:24:26.793Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-30T01:24:26.793Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-30T01:24:26.793Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (74358.586 ms) ======
[2025-08-30T01:24:26.793Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-08-30T01:24:27.747Z] GC before operation: completed in 407.228 ms, heap usage 376.313 MB -> 89.920 MB.
[2025-08-30T01:24:39.839Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T01:24:52.824Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T01:25:05.849Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T01:25:18.299Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T01:25:23.948Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T01:25:30.791Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T01:25:36.576Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T01:25:43.697Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T01:25:43.697Z] 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.
[2025-08-30T01:25:43.697Z] The best model improves the baseline by 14.52%.
[2025-08-30T01:25:44.781Z] Top recommended movies for user id 72:
[2025-08-30T01:25:44.781Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-30T01:25:44.781Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-30T01:25:44.781Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-30T01:25:44.781Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-30T01:25:44.781Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-30T01:25:44.781Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (77472.696 ms) ======
[2025-08-30T01:25:44.781Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-08-30T01:25:44.781Z] GC before operation: completed in 328.989 ms, heap usage 342.545 MB -> 89.989 MB.
[2025-08-30T01:25:56.948Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T01:26:07.290Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T01:26:19.506Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T01:26:30.158Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T01:26:37.611Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T01:26:43.576Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T01:26:52.486Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T01:26:57.407Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T01:26:58.938Z] 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.
[2025-08-30T01:26:58.938Z] The best model improves the baseline by 14.52%.
[2025-08-30T01:26:59.378Z] Top recommended movies for user id 72:
[2025-08-30T01:26:59.378Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-30T01:26:59.378Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-30T01:26:59.378Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-30T01:26:59.378Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-30T01:26:59.378Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-30T01:26:59.378Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (74512.390 ms) ======
[2025-08-30T01:26:59.378Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-08-30T01:26:59.914Z] GC before operation: completed in 330.397 ms, heap usage 496.172 MB -> 90.268 MB.
[2025-08-30T01:27:14.746Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T01:27:22.140Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T01:27:34.210Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T01:27:42.788Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T01:27:48.452Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T01:27:54.252Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T01:28:01.461Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T01:28:06.061Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T01:28:07.018Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983.
[2025-08-30T01:28:07.018Z] The best model improves the baseline by 14.52%.
[2025-08-30T01:28:07.463Z] Top recommended movies for user id 72:
[2025-08-30T01:28:07.463Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-30T01:28:07.463Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-30T01:28:07.463Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-30T01:28:07.463Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-30T01:28:07.463Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-30T01:28:07.463Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (67691.103 ms) ======
[2025-08-30T01:28:07.463Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-08-30T01:28:07.971Z] GC before operation: completed in 335.871 ms, heap usage 577.361 MB -> 93.425 MB.
[2025-08-30T01:28:20.264Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T01:28:35.068Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T01:28:43.980Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T01:28:56.171Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T01:29:00.913Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T01:29:09.230Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T01:29:15.278Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T01:29:21.444Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T01:29:21.974Z] 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.
[2025-08-30T01:29:21.974Z] The best model improves the baseline by 14.52%.
[2025-08-30T01:29:22.436Z] Top recommended movies for user id 72:
[2025-08-30T01:29:22.436Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-30T01:29:22.436Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-30T01:29:22.436Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-30T01:29:22.436Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-30T01:29:22.436Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-30T01:29:22.436Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (74655.219 ms) ======
[2025-08-30T01:29:22.436Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-08-30T01:29:22.946Z] GC before operation: completed in 342.659 ms, heap usage 994.588 MB -> 94.979 MB.
[2025-08-30T01:29:33.157Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T01:29:45.218Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T01:29:55.202Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T01:30:05.723Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T01:30:09.497Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T01:30:15.214Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T01:30:22.046Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T01:30:29.537Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T01:30:29.537Z] 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.
[2025-08-30T01:30:29.537Z] The best model improves the baseline by 14.52%.
[2025-08-30T01:30:29.537Z] Top recommended movies for user id 72:
[2025-08-30T01:30:29.537Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-30T01:30:29.537Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-30T01:30:29.537Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-30T01:30:29.537Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-30T01:30:29.537Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-30T01:30:29.537Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (66800.498 ms) ======
[2025-08-30T01:30:29.537Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-08-30T01:30:30.011Z] GC before operation: completed in 356.631 ms, heap usage 1.014 GB -> 95.176 MB.
[2025-08-30T01:30:42.002Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T01:30:52.711Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T01:31:03.474Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T01:31:15.921Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T01:31:20.759Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T01:31:27.556Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T01:31:33.524Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T01:31:40.411Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T01:31:41.604Z] 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.
[2025-08-30T01:31:41.604Z] The best model improves the baseline by 14.52%.
[2025-08-30T01:31:42.126Z] Top recommended movies for user id 72:
[2025-08-30T01:31:42.126Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-30T01:31:42.126Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-30T01:31:42.126Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-30T01:31:42.126Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-30T01:31:42.126Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-30T01:31:42.126Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (71991.301 ms) ======
[2025-08-30T01:31:42.126Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-08-30T01:31:42.126Z] GC before operation: completed in 167.742 ms, heap usage 423.852 MB -> 90.135 MB.
[2025-08-30T01:31:52.396Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T01:32:04.467Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T01:32:14.969Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T01:32:25.213Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T01:32:32.010Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T01:32:38.781Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T01:32:45.871Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T01:32:53.154Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T01:32:54.143Z] 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.
[2025-08-30T01:32:54.143Z] The best model improves the baseline by 14.52%.
[2025-08-30T01:32:54.603Z] Top recommended movies for user id 72:
[2025-08-30T01:32:54.603Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-30T01:32:54.603Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-30T01:32:54.603Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-30T01:32:54.603Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-30T01:32:54.603Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-30T01:32:54.603Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (72432.869 ms) ======
[2025-08-30T01:32:54.603Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-08-30T01:32:55.616Z] GC before operation: completed in 281.919 ms, heap usage 480.037 MB -> 90.295 MB.
[2025-08-30T01:33:07.856Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T01:33:17.769Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T01:33:28.092Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T01:33:36.509Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T01:33:40.870Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T01:33:46.129Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T01:33:50.500Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T01:33:55.171Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T01:33:56.788Z] 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.
[2025-08-30T01:33:56.788Z] The best model improves the baseline by 14.52%.
[2025-08-30T01:33:57.795Z] Top recommended movies for user id 72:
[2025-08-30T01:33:57.795Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-30T01:33:57.795Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-30T01:33:57.795Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-30T01:33:57.795Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-30T01:33:57.795Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-30T01:33:57.795Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (62640.957 ms) ======
[2025-08-30T01:33:57.795Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-08-30T01:33:57.795Z] GC before operation: completed in 330.921 ms, heap usage 1.152 GB -> 95.659 MB.
[2025-08-30T01:34:09.949Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T01:34:20.424Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T01:34:30.767Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T01:34:39.503Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T01:34:45.534Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T01:34:52.939Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T01:34:58.632Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T01:35:05.741Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T01:35:06.209Z] 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.
[2025-08-30T01:35:06.209Z] The best model improves the baseline by 14.52%.
[2025-08-30T01:35:07.093Z] Top recommended movies for user id 72:
[2025-08-30T01:35:07.093Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-30T01:35:07.093Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-30T01:35:07.093Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-30T01:35:07.093Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-30T01:35:07.093Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-30T01:35:07.093Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (69190.896 ms) ======
[2025-08-30T01:35:07.093Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-08-30T01:35:07.093Z] GC before operation: completed in 345.743 ms, heap usage 673.958 MB -> 93.818 MB.
[2025-08-30T01:35:19.245Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T01:35:31.893Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T01:35:42.493Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T01:35:52.772Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T01:36:00.214Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T01:36:07.184Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T01:36:12.844Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T01:36:19.650Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T01:36:20.093Z] 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.
[2025-08-30T01:36:20.093Z] The best model improves the baseline by 14.52%.
[2025-08-30T01:36:20.544Z] Top recommended movies for user id 72:
[2025-08-30T01:36:20.544Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-30T01:36:20.544Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-30T01:36:20.544Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-30T01:36:20.544Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-30T01:36:20.544Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-30T01:36:20.544Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (73264.122 ms) ======
[2025-08-30T01:36:20.544Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-08-30T01:36:21.163Z] GC before operation: completed in 381.790 ms, heap usage 1.011 GB -> 95.120 MB.
[2025-08-30T01:36:33.827Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T01:36:43.698Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T01:36:58.661Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T01:37:09.372Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T01:37:14.443Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T01:37:20.400Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T01:37:25.374Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T01:37:29.985Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T01:37:31.608Z] 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.
[2025-08-30T01:37:31.608Z] The best model improves the baseline by 14.52%.
[2025-08-30T01:37:31.608Z] Top recommended movies for user id 72:
[2025-08-30T01:37:31.608Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-30T01:37:31.608Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-30T01:37:31.608Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-30T01:37:31.608Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-30T01:37:31.608Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-30T01:37:31.608Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (70767.534 ms) ======
[2025-08-30T01:37:31.608Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-08-30T01:37:32.083Z] GC before operation: completed in 315.645 ms, heap usage 1.050 GB -> 95.483 MB.
[2025-08-30T01:37:44.542Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T01:37:53.409Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T01:38:03.991Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T01:38:14.055Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T01:38:19.847Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T01:38:25.881Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T01:38:32.827Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T01:38:38.627Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T01:38:38.627Z] 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.
[2025-08-30T01:38:38.627Z] The best model improves the baseline by 14.52%.
[2025-08-30T01:38:39.478Z] Top recommended movies for user id 72:
[2025-08-30T01:38:39.478Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-30T01:38:39.478Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-30T01:38:39.478Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-30T01:38:39.478Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-30T01:38:39.478Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-30T01:38:39.478Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (67332.558 ms) ======
[2025-08-30T01:38:43.139Z] -----------------------------------
[2025-08-30T01:38:43.139Z] renaissance-movie-lens_0_PASSED
[2025-08-30T01:38:43.139Z] -----------------------------------
[2025-08-30T01:38:43.139Z]
[2025-08-30T01:38:43.139Z] TEST TEARDOWN:
[2025-08-30T01:38:43.139Z] Nothing to be done for teardown.
[2025-08-30T01:38:43.139Z] renaissance-movie-lens_0 Finish Time: Fri Aug 29 18:38:42 2025 Epoch Time (ms): 1756517922218