renaissance-movie-lens_0
[2025-03-27T04:59:03.284Z] Running test renaissance-movie-lens_0 ...
[2025-03-27T04:59:03.830Z] ===============================================
[2025-03-27T04:59:03.830Z] renaissance-movie-lens_0 Start Time: Wed Mar 26 21:59:03 2025 Epoch Time (ms): 1743051543108
[2025-03-27T04:59:03.830Z] variation: NoOptions
[2025-03-27T04:59:03.830Z] JVM_OPTIONS:
[2025-03-27T04:59:03.830Z] { \
[2025-03-27T04:59:03.830Z] echo ""; echo "TEST SETUP:"; \
[2025-03-27T04:59:03.830Z] echo "Nothing to be done for setup."; \
[2025-03-27T04:59:03.830Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/../TKG/output_17430478064651/renaissance-movie-lens_0"; \
[2025-03-27T04:59:03.830Z] cd "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/../TKG/output_17430478064651/renaissance-movie-lens_0"; \
[2025-03-27T04:59:03.830Z] echo ""; echo "TESTING:"; \
[2025-03-27T04:59:03.830Z] "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_1/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_openjdk17_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/../TKG/output_17430478064651/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-03-27T04:59:03.830Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/../TKG/output_17430478064651/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-03-27T04:59:03.830Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-03-27T04:59:03.830Z] echo "Nothing to be done for teardown."; \
[2025-03-27T04:59:03.830Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/../TKG/output_17430478064651/TestTargetResult";
[2025-03-27T04:59:04.295Z]
[2025-03-27T04:59:04.295Z] TEST SETUP:
[2025-03-27T04:59:04.295Z] Nothing to be done for setup.
[2025-03-27T04:59:04.295Z]
[2025-03-27T04:59:04.295Z] TESTING:
[2025-03-27T04:59:35.229Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 3 (out of 3) threads.
[2025-03-27T05:00:06.390Z] 22:00:03.515 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.
[2025-03-27T05:00:20.672Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-03-27T05:00:23.149Z] Training: 60056, validation: 20285, test: 19854
[2025-03-27T05:00:23.150Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-03-27T05:00:23.150Z] GC before operation: completed in 474.636 ms, heap usage 352.340 MB -> 75.753 MB.
[2025-03-27T05:01:08.017Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T05:01:34.632Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T05:01:57.230Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T05:02:16.882Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T05:02:36.595Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T05:02:45.133Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T05:02:58.976Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T05:03:08.609Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T05:03:09.796Z] 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.
[2025-03-27T05:03:11.052Z] The best model improves the baseline by 14.52%.
[2025-03-27T05:03:11.478Z] Top recommended movies for user id 72:
[2025-03-27T05:03:11.478Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-03-27T05:03:11.478Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-03-27T05:03:11.478Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-03-27T05:03:11.478Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-03-27T05:03:11.478Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-03-27T05:03:11.478Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (168328.912 ms) ======
[2025-03-27T05:03:11.479Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-03-27T05:03:12.033Z] GC before operation: completed in 309.846 ms, heap usage 728.509 MB -> 93.551 MB.
[2025-03-27T05:03:34.285Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T05:03:56.867Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T05:04:12.520Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T05:04:31.175Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T05:04:41.039Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T05:04:52.734Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T05:05:06.261Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T05:05:15.293Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T05:05:15.928Z] 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.
[2025-03-27T05:05:16.567Z] The best model improves the baseline by 14.52%.
[2025-03-27T05:05:17.721Z] Top recommended movies for user id 72:
[2025-03-27T05:05:17.721Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-03-27T05:05:17.721Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-03-27T05:05:17.721Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-03-27T05:05:17.721Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-03-27T05:05:17.721Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-03-27T05:05:17.721Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (125693.750 ms) ======
[2025-03-27T05:05:17.721Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-03-27T05:05:18.130Z] GC before operation: completed in 346.201 ms, heap usage 422.332 MB -> 90.091 MB.
[2025-03-27T05:05:36.854Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T05:05:56.297Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T05:06:22.813Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T05:06:38.585Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T05:06:50.805Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T05:06:59.813Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T05:07:11.340Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T05:07:24.336Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T05:07:24.787Z] 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.
[2025-03-27T05:07:24.787Z] The best model improves the baseline by 14.52%.
[2025-03-27T05:07:25.904Z] Top recommended movies for user id 72:
[2025-03-27T05:07:25.904Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-03-27T05:07:25.904Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-03-27T05:07:25.904Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-03-27T05:07:25.904Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-03-27T05:07:25.904Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-03-27T05:07:25.904Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (127637.497 ms) ======
[2025-03-27T05:07:25.904Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-03-27T05:07:26.691Z] GC before operation: completed in 826.599 ms, heap usage 354.009 MB -> 88.982 MB.
[2025-03-27T05:07:48.851Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T05:08:11.570Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T05:08:29.522Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T05:08:52.614Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T05:09:00.695Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T05:09:12.207Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T05:09:22.969Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T05:09:32.537Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T05:09:33.607Z] 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.
[2025-03-27T05:09:33.607Z] The best model improves the baseline by 14.52%.
[2025-03-27T05:09:34.102Z] Top recommended movies for user id 72:
[2025-03-27T05:09:34.102Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-03-27T05:09:34.102Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-03-27T05:09:34.102Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-03-27T05:09:34.102Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-03-27T05:09:34.102Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-03-27T05:09:34.102Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (127609.979 ms) ======
[2025-03-27T05:09:34.102Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-03-27T05:09:34.899Z] GC before operation: completed in 513.247 ms, heap usage 445.822 MB -> 89.382 MB.
[2025-03-27T05:09:54.144Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T05:10:09.205Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T05:10:27.454Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T05:10:46.750Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T05:10:57.878Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T05:11:07.421Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T05:11:16.608Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T05:11:25.742Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T05:11:26.163Z] 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.
[2025-03-27T05:11:26.163Z] The best model improves the baseline by 14.52%.
[2025-03-27T05:11:26.617Z] Top recommended movies for user id 72:
[2025-03-27T05:11:26.617Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-03-27T05:11:26.617Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-03-27T05:11:26.617Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-03-27T05:11:26.617Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-03-27T05:11:26.617Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-03-27T05:11:26.617Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (112164.889 ms) ======
[2025-03-27T05:11:26.617Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-03-27T05:11:27.190Z] GC before operation: completed in 346.158 ms, heap usage 920.502 MB -> 93.827 MB.
[2025-03-27T05:11:45.726Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T05:12:04.606Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T05:12:20.316Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T05:12:35.715Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T05:12:49.473Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T05:12:57.197Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T05:13:16.914Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T05:13:24.342Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T05:13:26.876Z] 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.
[2025-03-27T05:13:26.876Z] The best model improves the baseline by 14.52%.
[2025-03-27T05:13:26.876Z] Top recommended movies for user id 72:
[2025-03-27T05:13:26.876Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-03-27T05:13:26.876Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-03-27T05:13:26.876Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-03-27T05:13:26.876Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-03-27T05:13:26.876Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-03-27T05:13:26.876Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (120017.313 ms) ======
[2025-03-27T05:13:26.876Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-03-27T05:13:27.561Z] GC before operation: completed in 367.911 ms, heap usage 798.087 MB -> 93.575 MB.
[2025-03-27T05:13:49.110Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T05:14:08.042Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T05:14:27.552Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T05:14:45.950Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T05:14:54.386Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T05:15:03.529Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T05:15:14.805Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T05:15:24.511Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T05:15:25.545Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983.
[2025-03-27T05:15:25.545Z] The best model improves the baseline by 14.52%.
[2025-03-27T05:15:26.111Z] Top recommended movies for user id 72:
[2025-03-27T05:15:26.111Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-03-27T05:15:26.111Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-03-27T05:15:26.111Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-03-27T05:15:26.111Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-03-27T05:15:26.111Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-03-27T05:15:26.111Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (118601.144 ms) ======
[2025-03-27T05:15:26.111Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-03-27T05:15:26.808Z] GC before operation: completed in 415.223 ms, heap usage 677.892 MB -> 93.163 MB.
[2025-03-27T05:15:48.451Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T05:16:01.389Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T05:16:20.205Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T05:16:39.638Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T05:16:46.972Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T05:17:00.866Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T05:17:10.619Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T05:17:20.998Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T05:17:22.747Z] 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.
[2025-03-27T05:17:23.196Z] The best model improves the baseline by 14.52%.
[2025-03-27T05:17:23.795Z] Top recommended movies for user id 72:
[2025-03-27T05:17:23.795Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-03-27T05:17:23.795Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-03-27T05:17:23.795Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-03-27T05:17:23.795Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-03-27T05:17:23.795Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-03-27T05:17:23.795Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (116979.111 ms) ======
[2025-03-27T05:17:23.795Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-03-27T05:17:24.630Z] GC before operation: completed in 686.742 ms, heap usage 128.917 MB -> 89.627 MB.
[2025-03-27T05:17:47.140Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T05:18:10.698Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T05:18:33.137Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T05:18:59.737Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T05:19:10.550Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T05:19:22.494Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T05:19:33.532Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T05:19:43.315Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T05:19:45.163Z] 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.
[2025-03-27T05:19:45.791Z] The best model improves the baseline by 14.52%.
[2025-03-27T05:19:45.791Z] Top recommended movies for user id 72:
[2025-03-27T05:19:45.791Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-03-27T05:19:45.791Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-03-27T05:19:45.791Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-03-27T05:19:45.791Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-03-27T05:19:45.791Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-03-27T05:19:45.791Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (141701.524 ms) ======
[2025-03-27T05:19:45.791Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-03-27T05:19:46.295Z] GC before operation: completed in 339.902 ms, heap usage 378.581 MB -> 89.598 MB.
[2025-03-27T05:20:14.439Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T05:20:37.453Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T05:20:56.959Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T05:21:12.421Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T05:21:23.200Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T05:21:34.774Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T05:21:43.739Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T05:21:54.943Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T05:21:54.943Z] 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.
[2025-03-27T05:21:55.378Z] The best model improves the baseline by 14.52%.
[2025-03-27T05:21:56.258Z] Top recommended movies for user id 72:
[2025-03-27T05:21:56.258Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-03-27T05:21:56.258Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-03-27T05:21:56.258Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-03-27T05:21:56.258Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-03-27T05:21:56.258Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-03-27T05:21:56.258Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (129480.975 ms) ======
[2025-03-27T05:21:56.258Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-03-27T05:21:57.654Z] GC before operation: completed in 2205.618 ms, heap usage 500.195 MB -> 92.200 MB.
[2025-03-27T05:22:20.492Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T05:22:33.307Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T05:22:49.113Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T05:23:08.006Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T05:23:17.673Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T05:23:27.625Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T05:23:38.246Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T05:23:47.476Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T05:23:48.072Z] 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.
[2025-03-27T05:23:48.535Z] The best model improves the baseline by 14.52%.
[2025-03-27T05:23:49.072Z] Top recommended movies for user id 72:
[2025-03-27T05:23:49.072Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-03-27T05:23:49.072Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-03-27T05:23:49.072Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-03-27T05:23:49.072Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-03-27T05:23:49.072Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-03-27T05:23:49.072Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (110965.918 ms) ======
[2025-03-27T05:23:49.072Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-03-27T05:23:49.072Z] GC before operation: completed in 332.264 ms, heap usage 543.114 MB -> 92.961 MB.
[2025-03-27T05:24:10.769Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T05:24:24.244Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T05:24:46.161Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T05:25:02.362Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T05:25:12.060Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T05:25:20.407Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T05:25:31.969Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T05:25:41.337Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T05:25:43.952Z] 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.
[2025-03-27T05:25:43.952Z] The best model improves the baseline by 14.52%.
[2025-03-27T05:25:44.537Z] Top recommended movies for user id 72:
[2025-03-27T05:25:44.537Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-03-27T05:25:44.537Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-03-27T05:25:44.537Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-03-27T05:25:44.537Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-03-27T05:25:44.537Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-03-27T05:25:44.537Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (114895.139 ms) ======
[2025-03-27T05:25:44.537Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-03-27T05:25:44.537Z] GC before operation: completed in 437.473 ms, heap usage 519.130 MB -> 90.092 MB.
[2025-03-27T05:26:01.044Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T05:26:17.845Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T05:26:33.890Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T05:26:53.139Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T05:27:03.840Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T05:27:15.174Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T05:27:27.011Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T05:27:43.480Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T05:27:43.480Z] 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.
[2025-03-27T05:27:43.480Z] The best model improves the baseline by 14.52%.
[2025-03-27T05:27:43.480Z] Top recommended movies for user id 72:
[2025-03-27T05:27:43.480Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-03-27T05:27:43.480Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-03-27T05:27:43.480Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-03-27T05:27:43.480Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-03-27T05:27:43.480Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-03-27T05:27:43.480Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (118638.458 ms) ======
[2025-03-27T05:27:43.480Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-03-27T05:27:43.480Z] GC before operation: completed in 550.357 ms, heap usage 132.616 MB -> 91.703 MB.
[2025-03-27T05:27:58.558Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T05:28:13.868Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T05:28:32.349Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T05:28:51.255Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T05:29:05.615Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T05:29:13.314Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T05:29:24.894Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T05:29:34.782Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T05:29:35.898Z] 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.
[2025-03-27T05:29:36.310Z] The best model improves the baseline by 14.52%.
[2025-03-27T05:29:36.858Z] Top recommended movies for user id 72:
[2025-03-27T05:29:36.858Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-03-27T05:29:36.858Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-03-27T05:29:36.858Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-03-27T05:29:36.858Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-03-27T05:29:36.858Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-03-27T05:29:36.858Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (112892.470 ms) ======
[2025-03-27T05:29:36.858Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-03-27T05:29:37.550Z] GC before operation: completed in 729.675 ms, heap usage 128.746 MB -> 92.732 MB.
[2025-03-27T05:29:56.214Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T05:30:17.945Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T05:30:36.390Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T05:30:52.040Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T05:31:08.892Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T05:31:16.490Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T05:31:27.890Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T05:31:37.149Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T05:31:38.616Z] 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.
[2025-03-27T05:31:38.616Z] The best model improves the baseline by 14.52%.
[2025-03-27T05:31:39.087Z] Top recommended movies for user id 72:
[2025-03-27T05:31:39.087Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-03-27T05:31:39.087Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-03-27T05:31:39.087Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-03-27T05:31:39.087Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-03-27T05:31:39.087Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-03-27T05:31:39.087Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (121566.928 ms) ======
[2025-03-27T05:31:39.087Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-03-27T05:31:39.582Z] GC before operation: completed in 353.696 ms, heap usage 758.996 MB -> 93.639 MB.
[2025-03-27T05:32:06.119Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T05:32:19.154Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T05:32:34.977Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T05:32:50.552Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T05:33:00.487Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T05:33:09.760Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T05:33:20.721Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T05:33:29.968Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T05:33:30.579Z] 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.
[2025-03-27T05:33:31.075Z] The best model improves the baseline by 14.52%.
[2025-03-27T05:33:31.075Z] Top recommended movies for user id 72:
[2025-03-27T05:33:31.075Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-03-27T05:33:31.075Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-03-27T05:33:31.075Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-03-27T05:33:31.075Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-03-27T05:33:31.075Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-03-27T05:33:31.075Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (112000.849 ms) ======
[2025-03-27T05:33:31.075Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-03-27T05:33:31.516Z] GC before operation: completed in 347.728 ms, heap usage 429.461 MB -> 89.893 MB.
[2025-03-27T05:33:51.050Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T05:34:06.779Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T05:34:22.138Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T05:34:35.453Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T05:34:42.798Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T05:34:52.159Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T05:35:01.019Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T05:35:10.817Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T05:35:12.460Z] 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.
[2025-03-27T05:35:12.460Z] The best model improves the baseline by 14.52%.
[2025-03-27T05:35:13.041Z] Top recommended movies for user id 72:
[2025-03-27T05:35:13.041Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-03-27T05:35:13.041Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-03-27T05:35:13.041Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-03-27T05:35:13.041Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-03-27T05:35:13.041Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-03-27T05:35:13.041Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (101183.645 ms) ======
[2025-03-27T05:35:13.041Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-03-27T05:35:13.424Z] GC before operation: completed in 414.506 ms, heap usage 191.603 MB -> 89.718 MB.
[2025-03-27T05:35:29.217Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T05:35:44.475Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T05:36:00.686Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T05:36:16.711Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T05:36:26.134Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T05:36:35.623Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T05:36:54.365Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T05:37:02.118Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T05:37:02.647Z] 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.
[2025-03-27T05:37:02.647Z] The best model improves the baseline by 14.52%.
[2025-03-27T05:37:02.647Z] Top recommended movies for user id 72:
[2025-03-27T05:37:02.647Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-03-27T05:37:02.647Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-03-27T05:37:02.647Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-03-27T05:37:02.647Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-03-27T05:37:02.647Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-03-27T05:37:02.647Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (109628.561 ms) ======
[2025-03-27T05:37:02.647Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-03-27T05:37:03.092Z] GC before operation: completed in 246.296 ms, heap usage 459.153 MB -> 89.883 MB.
[2025-03-27T05:37:30.182Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T05:37:46.654Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T05:38:02.921Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T05:38:22.143Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T05:38:27.130Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T05:38:36.422Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T05:38:50.029Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T05:38:58.487Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T05:38:59.582Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983.
[2025-03-27T05:38:59.582Z] The best model improves the baseline by 14.52%.
[2025-03-27T05:39:00.053Z] Top recommended movies for user id 72:
[2025-03-27T05:39:00.053Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-03-27T05:39:00.053Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-03-27T05:39:00.053Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-03-27T05:39:00.053Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-03-27T05:39:00.053Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-03-27T05:39:00.053Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (116973.846 ms) ======
[2025-03-27T05:39:00.053Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-03-27T05:39:00.741Z] GC before operation: completed in 393.898 ms, heap usage 674.842 MB -> 95.166 MB.
[2025-03-27T05:39:23.458Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T05:39:46.395Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T05:40:02.007Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T05:40:21.156Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T05:40:27.040Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T05:40:36.125Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T05:40:45.421Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T05:40:54.399Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T05:40:56.051Z] 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.
[2025-03-27T05:40:56.051Z] The best model improves the baseline by 14.52%.
[2025-03-27T05:40:56.523Z] Top recommended movies for user id 72:
[2025-03-27T05:40:56.523Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-03-27T05:40:56.523Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-03-27T05:40:56.523Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-03-27T05:40:56.523Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-03-27T05:40:56.523Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-03-27T05:40:56.523Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (116169.750 ms) ======
[2025-03-27T05:41:02.318Z] -----------------------------------
[2025-03-27T05:41:02.318Z] renaissance-movie-lens_0_PASSED
[2025-03-27T05:41:02.318Z] -----------------------------------
[2025-03-27T05:41:02.742Z]
[2025-03-27T05:41:02.743Z] TEST TEARDOWN:
[2025-03-27T05:41:02.743Z] Nothing to be done for teardown.
[2025-03-27T05:41:03.765Z] renaissance-movie-lens_0 Finish Time: Wed Mar 26 22:41:02 2025 Epoch Time (ms): 1743054063102