renaissance-movie-lens_0
[2026-04-02T07:20:32.149Z] Running test renaissance-movie-lens_0 ...
[2026-04-02T07:20:32.149Z] ===============================================
[2026-04-02T07:20:32.149Z] renaissance-movie-lens_0 Start Time: Thu Apr 2 03:20:31 2026 Epoch Time (ms): 1775114431975
[2026-04-02T07:20:32.149Z] variation: NoOptions
[2026-04-02T07:20:32.607Z] JVM_OPTIONS:
[2026-04-02T07:20:32.607Z] { \
[2026-04-02T07:20:32.607Z] echo ""; echo "TEST SETUP:"; \
[2026-04-02T07:20:32.607Z] echo "Nothing to be done for setup."; \
[2026-04-02T07:20:32.607Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17751110428485/renaissance-movie-lens_0"; \
[2026-04-02T07:20:32.607Z] cd "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17751110428485/renaissance-movie-lens_0"; \
[2026-04-02T07:20:32.607Z] echo ""; echo "TESTING:"; \
[2026-04-02T07:20:32.607Z] "/Users/admin/workspace/workspace/Test_openjdk17_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_openjdk17_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17751110428485/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-04-02T07:20:32.607Z] 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/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17751110428485/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-04-02T07:20:32.607Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-04-02T07:20:32.607Z] echo "Nothing to be done for teardown."; \
[2026-04-02T07:20:32.607Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17751110428485/TestTargetResult";
[2026-04-02T07:20:32.607Z]
[2026-04-02T07:20:32.607Z] TEST SETUP:
[2026-04-02T07:20:32.607Z] Nothing to be done for setup.
[2026-04-02T07:20:32.607Z]
[2026-04-02T07:20:32.607Z] TESTING:
[2026-04-02T07:21:03.611Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-04-02T07:21:34.254Z] 03:21:29.840 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-04-02T07:21:37.682Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-04-02T07:21:39.340Z] Training: 60056, validation: 20285, test: 19854
[2026-04-02T07:21:39.340Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-04-02T07:21:39.340Z] GC before operation: completed in 413.870 ms, heap usage 369.302 MB -> 75.125 MB.
[2026-04-02T07:22:10.726Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-02T07:22:37.102Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-02T07:22:53.740Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-02T07:23:12.538Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-02T07:23:22.347Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-02T07:23:33.429Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-02T07:23:39.793Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-02T07:23:47.127Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-02T07:23:47.127Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-02T07:23:47.127Z] The best model improves the baseline by 14.52%.
[2026-04-02T07:23:48.109Z] Top recommended movies for user id 72:
[2026-04-02T07:23:48.109Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-02T07:23:48.109Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-02T07:23:48.109Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-02T07:23:48.109Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-02T07:23:48.109Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-02T07:23:48.109Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (128762.265 ms) ======
[2026-04-02T07:23:48.109Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-04-02T07:23:48.660Z] GC before operation: completed in 303.807 ms, heap usage 134.354 MB -> 88.293 MB.
[2026-04-02T07:24:04.068Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-02T07:24:19.575Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-02T07:24:36.730Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-02T07:24:52.428Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-02T07:24:57.752Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-02T07:25:05.074Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-02T07:25:16.301Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-02T07:25:25.561Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-02T07:25:26.187Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-02T07:25:26.694Z] The best model improves the baseline by 14.52%.
[2026-04-02T07:25:27.191Z] Top recommended movies for user id 72:
[2026-04-02T07:25:27.191Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-02T07:25:27.191Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-02T07:25:27.191Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-02T07:25:27.191Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-02T07:25:27.191Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-02T07:25:27.191Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (98553.410 ms) ======
[2026-04-02T07:25:27.191Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-04-02T07:25:27.191Z] GC before operation: completed in 245.625 ms, heap usage 358.622 MB -> 88.206 MB.
[2026-04-02T07:25:54.252Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-02T07:26:13.168Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-02T07:26:32.364Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-02T07:26:48.085Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-02T07:26:55.924Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-02T07:27:02.176Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-02T07:27:09.436Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-02T07:27:16.815Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-02T07:27:16.815Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-02T07:27:17.479Z] The best model improves the baseline by 14.52%.
[2026-04-02T07:27:17.986Z] Top recommended movies for user id 72:
[2026-04-02T07:27:17.986Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-02T07:27:17.986Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-02T07:27:17.986Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-02T07:27:17.986Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-02T07:27:17.986Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-02T07:27:17.986Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (110746.265 ms) ======
[2026-04-02T07:27:17.986Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-04-02T07:27:18.532Z] GC before operation: completed in 242.363 ms, heap usage 495.078 MB -> 88.873 MB.
[2026-04-02T07:27:33.921Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-02T07:27:49.693Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-02T07:28:08.620Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-02T07:28:24.698Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-02T07:28:32.518Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-02T07:28:40.661Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-02T07:28:46.498Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-02T07:28:53.948Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-02T07:28:54.981Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-02T07:28:54.981Z] The best model improves the baseline by 14.52%.
[2026-04-02T07:28:56.752Z] Top recommended movies for user id 72:
[2026-04-02T07:28:56.752Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-02T07:28:56.752Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-02T07:28:56.752Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-02T07:28:56.752Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-02T07:28:56.752Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-02T07:28:56.752Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (98272.474 ms) ======
[2026-04-02T07:28:56.752Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-04-02T07:28:57.303Z] GC before operation: completed in 465.196 ms, heap usage 257.320 MB -> 88.801 MB.
[2026-04-02T07:29:18.764Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-02T07:29:34.763Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-02T07:29:50.804Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-02T07:30:13.255Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-02T07:30:15.569Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-02T07:30:22.930Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-02T07:30:32.119Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-02T07:30:40.028Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-02T07:30:40.498Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-02T07:30:41.048Z] The best model improves the baseline by 14.52%.
[2026-04-02T07:30:41.048Z] Top recommended movies for user id 72:
[2026-04-02T07:30:41.048Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-02T07:30:41.048Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-02T07:30:41.048Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-02T07:30:41.048Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-02T07:30:41.048Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-02T07:30:41.048Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (104088.601 ms) ======
[2026-04-02T07:30:41.048Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-04-02T07:30:41.592Z] GC before operation: completed in 323.415 ms, heap usage 847.688 MB -> 92.991 MB.
[2026-04-02T07:31:03.664Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-02T07:31:19.536Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-02T07:31:37.439Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-02T07:31:48.855Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-02T07:31:58.320Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-02T07:32:06.145Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-02T07:32:16.088Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-02T07:32:29.619Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-02T07:32:30.235Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-02T07:32:30.235Z] The best model improves the baseline by 14.52%.
[2026-04-02T07:32:30.235Z] Top recommended movies for user id 72:
[2026-04-02T07:32:30.235Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-02T07:32:30.235Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-02T07:32:30.235Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-02T07:32:30.235Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-02T07:32:30.235Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-02T07:32:30.235Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (108860.521 ms) ======
[2026-04-02T07:32:30.235Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-04-02T07:32:30.716Z] GC before operation: completed in 320.708 ms, heap usage 306.099 MB -> 89.204 MB.
[2026-04-02T07:32:43.281Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-02T07:33:01.939Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-02T07:33:17.483Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-02T07:33:30.614Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-02T07:33:37.992Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-02T07:33:43.914Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-02T07:33:51.607Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-02T07:34:01.211Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-02T07:34:02.428Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-02T07:34:02.428Z] The best model improves the baseline by 14.52%.
[2026-04-02T07:34:03.035Z] Top recommended movies for user id 72:
[2026-04-02T07:34:03.035Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-02T07:34:03.035Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-02T07:34:03.035Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-02T07:34:03.035Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-02T07:34:03.035Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-02T07:34:03.035Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (92175.720 ms) ======
[2026-04-02T07:34:03.035Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-04-02T07:34:03.519Z] GC before operation: completed in 832.122 ms, heap usage 196.310 MB -> 91.094 MB.
[2026-04-02T07:34:21.937Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-02T07:34:41.197Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-02T07:34:52.757Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-02T07:35:06.235Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-02T07:35:14.308Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-02T07:35:23.116Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-02T07:35:30.924Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-02T07:35:37.125Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-02T07:35:38.525Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-02T07:35:38.926Z] The best model improves the baseline by 14.52%.
[2026-04-02T07:35:39.418Z] Top recommended movies for user id 72:
[2026-04-02T07:35:39.418Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-02T07:35:39.418Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-02T07:35:39.418Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-02T07:35:39.418Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-02T07:35:39.418Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-02T07:35:39.418Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (95735.481 ms) ======
[2026-04-02T07:35:39.418Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-04-02T07:35:39.856Z] GC before operation: completed in 345.694 ms, heap usage 651.684 MB -> 93.007 MB.
[2026-04-02T07:35:52.894Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-02T07:36:03.909Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-02T07:36:17.032Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-02T07:36:27.747Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-02T07:36:33.578Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-02T07:36:40.946Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-02T07:36:48.268Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-02T07:36:53.249Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-02T07:36:53.692Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-02T07:36:54.197Z] The best model improves the baseline by 14.52%.
[2026-04-02T07:36:54.197Z] Top recommended movies for user id 72:
[2026-04-02T07:36:54.197Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-02T07:36:54.197Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-02T07:36:54.197Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-02T07:36:54.197Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-02T07:36:54.197Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-02T07:36:54.197Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (74573.684 ms) ======
[2026-04-02T07:36:54.197Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-04-02T07:36:54.633Z] GC before operation: completed in 240.765 ms, heap usage 683.859 MB -> 93.074 MB.
[2026-04-02T07:37:09.943Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-02T07:37:25.707Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-02T07:37:39.043Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-02T07:37:51.923Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-02T07:37:57.064Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-02T07:38:04.533Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-02T07:38:12.711Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-02T07:38:23.651Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-02T07:38:29.270Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-02T07:38:29.742Z] The best model improves the baseline by 14.52%.
[2026-04-02T07:38:31.649Z] Top recommended movies for user id 72:
[2026-04-02T07:38:31.649Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-02T07:38:31.649Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-02T07:38:31.649Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-02T07:38:31.649Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-02T07:38:31.649Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-02T07:38:31.650Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (97084.004 ms) ======
[2026-04-02T07:38:31.650Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-04-02T07:38:32.292Z] GC before operation: completed in 481.742 ms, heap usage 397.644 MB -> 89.704 MB.
[2026-04-02T07:38:54.669Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-02T07:39:12.915Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-02T07:39:28.192Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-02T07:39:43.456Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-02T07:39:52.883Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-02T07:40:03.737Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-02T07:40:12.101Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-02T07:40:21.484Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-02T07:40:22.038Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-02T07:40:22.038Z] The best model improves the baseline by 14.52%.
[2026-04-02T07:40:22.459Z] Top recommended movies for user id 72:
[2026-04-02T07:40:22.459Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-02T07:40:22.459Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-02T07:40:22.459Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-02T07:40:22.459Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-02T07:40:22.459Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-02T07:40:22.459Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (110298.541 ms) ======
[2026-04-02T07:40:22.459Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-04-02T07:40:23.001Z] GC before operation: completed in 420.281 ms, heap usage 852.527 MB -> 96.884 MB.
[2026-04-02T07:40:42.055Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-02T07:40:58.415Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-02T07:41:11.969Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-02T07:41:25.187Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-02T07:41:31.390Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-02T07:41:39.250Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-02T07:41:48.671Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-02T07:42:05.743Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-02T07:42:06.758Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-02T07:42:07.159Z] The best model improves the baseline by 14.52%.
[2026-04-02T07:42:07.159Z] Top recommended movies for user id 72:
[2026-04-02T07:42:07.159Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-02T07:42:07.159Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-02T07:42:07.159Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-02T07:42:07.159Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-02T07:42:07.159Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-02T07:42:07.159Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (104496.908 ms) ======
[2026-04-02T07:42:07.159Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-04-02T07:42:07.783Z] GC before operation: completed in 337.173 ms, heap usage 481.634 MB -> 91.635 MB.
[2026-04-02T07:42:22.869Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-02T07:42:35.779Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-02T07:42:51.650Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-02T07:43:04.799Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-02T07:43:12.838Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-02T07:43:20.331Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-02T07:43:27.883Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-02T07:43:37.015Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-02T07:43:38.330Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-02T07:43:38.330Z] The best model improves the baseline by 14.52%.
[2026-04-02T07:43:38.876Z] Top recommended movies for user id 72:
[2026-04-02T07:43:38.876Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-02T07:43:38.876Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-02T07:43:38.876Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-02T07:43:38.876Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-02T07:43:38.876Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-02T07:43:38.876Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (91358.188 ms) ======
[2026-04-02T07:43:38.876Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-04-02T07:43:39.467Z] GC before operation: completed in 402.124 ms, heap usage 504.042 MB -> 89.991 MB.
[2026-04-02T07:44:01.509Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-02T07:44:17.045Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-02T07:44:32.897Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-02T07:44:43.652Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-02T07:44:51.279Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-02T07:44:58.590Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-02T07:45:06.264Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-02T07:45:13.573Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-02T07:45:13.573Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-02T07:45:13.573Z] The best model improves the baseline by 14.52%.
[2026-04-02T07:45:14.657Z] Top recommended movies for user id 72:
[2026-04-02T07:45:14.657Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-02T07:45:14.657Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-02T07:45:14.657Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-02T07:45:14.657Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-02T07:45:14.657Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-02T07:45:14.657Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (95051.422 ms) ======
[2026-04-02T07:45:14.657Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-04-02T07:45:15.137Z] GC before operation: completed in 350.390 ms, heap usage 769.215 MB -> 93.366 MB.
[2026-04-02T07:45:34.073Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-02T07:45:45.525Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-02T07:45:56.309Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-02T07:46:08.982Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-02T07:46:15.681Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-02T07:46:23.376Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-02T07:46:31.087Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-02T07:46:38.772Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-02T07:46:40.591Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-02T07:46:40.995Z] The best model improves the baseline by 14.52%.
[2026-04-02T07:46:41.475Z] Top recommended movies for user id 72:
[2026-04-02T07:46:41.475Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-02T07:46:41.475Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-02T07:46:41.475Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-02T07:46:41.475Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-02T07:46:41.475Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-02T07:46:41.475Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (86348.036 ms) ======
[2026-04-02T07:46:41.475Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-04-02T07:46:41.475Z] GC before operation: completed in 297.151 ms, heap usage 114.385 MB -> 94.337 MB.
[2026-04-02T07:46:57.227Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-02T07:47:10.696Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-02T07:47:34.363Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-02T07:47:40.733Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-02T07:47:54.097Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-02T07:48:00.283Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-02T07:48:08.075Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-02T07:48:14.384Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-02T07:48:15.634Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-02T07:48:16.246Z] The best model improves the baseline by 14.52%.
[2026-04-02T07:48:16.246Z] Top recommended movies for user id 72:
[2026-04-02T07:48:16.246Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-02T07:48:16.246Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-02T07:48:16.246Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-02T07:48:16.246Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-02T07:48:16.246Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-02T07:48:16.246Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (94809.799 ms) ======
[2026-04-02T07:48:16.246Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-04-02T07:48:16.710Z] GC before operation: completed in 334.270 ms, heap usage 1.482 GB -> 95.490 MB.
[2026-04-02T07:48:32.109Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-02T07:48:47.274Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-02T07:49:00.020Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-02T07:49:15.512Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-02T07:49:22.920Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-02T07:49:30.602Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-02T07:49:39.990Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-02T07:49:46.643Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-02T07:49:48.549Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-02T07:49:48.549Z] The best model improves the baseline by 14.52%.
[2026-04-02T07:49:49.015Z] Top recommended movies for user id 72:
[2026-04-02T07:49:49.015Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-02T07:49:49.015Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-02T07:49:49.015Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-02T07:49:49.015Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-02T07:49:49.015Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-02T07:49:49.015Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (92121.900 ms) ======
[2026-04-02T07:49:49.015Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-04-02T07:49:49.015Z] GC before operation: completed in 387.190 ms, heap usage 1.676 GB -> 95.830 MB.
[2026-04-02T07:50:04.707Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-02T07:50:17.774Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-02T07:50:34.645Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-02T07:50:47.993Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-02T07:50:55.536Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-02T07:51:03.837Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-02T07:51:16.954Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-02T07:51:24.075Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-02T07:51:24.075Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-02T07:51:24.521Z] The best model improves the baseline by 14.52%.
[2026-04-02T07:51:25.987Z] Top recommended movies for user id 72:
[2026-04-02T07:51:25.987Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-02T07:51:25.987Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-02T07:51:25.987Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-02T07:51:25.987Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-02T07:51:25.987Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-02T07:51:25.987Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (96072.080 ms) ======
[2026-04-02T07:51:25.987Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-04-02T07:51:26.432Z] GC before operation: completed in 985.733 ms, heap usage 748.919 MB -> 93.337 MB.
[2026-04-02T07:51:41.771Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-02T07:51:55.357Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-02T07:52:06.354Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-02T07:52:24.922Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-02T07:52:30.086Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-02T07:52:37.404Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-02T07:52:45.149Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-02T07:52:54.713Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-02T07:52:55.169Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-02T07:52:55.169Z] The best model improves the baseline by 14.52%.
[2026-04-02T07:52:55.869Z] Top recommended movies for user id 72:
[2026-04-02T07:52:55.869Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-02T07:52:55.869Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-02T07:52:55.869Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-02T07:52:55.869Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-02T07:52:55.869Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-02T07:52:55.869Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (89483.058 ms) ======
[2026-04-02T07:52:55.869Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-04-02T07:52:57.005Z] GC before operation: completed in 1118.470 ms, heap usage 1.272 GB -> 95.435 MB.
[2026-04-02T07:53:18.903Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-02T07:53:31.804Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-02T07:53:43.086Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-02T07:53:53.835Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-02T07:54:00.171Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-02T07:54:09.653Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-02T07:54:17.484Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-02T07:54:26.469Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-02T07:54:27.535Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-02T07:54:27.535Z] The best model improves the baseline by 14.52%.
[2026-04-02T07:54:27.947Z] Top recommended movies for user id 72:
[2026-04-02T07:54:27.947Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-02T07:54:27.947Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-02T07:54:27.947Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-02T07:54:27.947Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-02T07:54:27.947Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-02T07:54:27.947Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (90967.491 ms) ======
[2026-04-02T07:54:34.727Z] -----------------------------------
[2026-04-02T07:54:34.727Z] renaissance-movie-lens_0_PASSED
[2026-04-02T07:54:34.727Z] -----------------------------------
[2026-04-02T07:54:34.727Z]
[2026-04-02T07:54:34.727Z] TEST TEARDOWN:
[2026-04-02T07:54:34.727Z] Nothing to be done for teardown.
[2026-04-02T07:54:35.175Z] renaissance-movie-lens_0 Finish Time: Thu Apr 2 03:54:34 2026 Epoch Time (ms): 1775116474689