renaissance-movie-lens_0
[2026-02-25T21:41:48.839Z] Running test renaissance-movie-lens_0 ...
[2026-02-25T21:41:48.839Z] ===============================================
[2026-02-25T21:41:49.192Z] renaissance-movie-lens_0 Start Time: Wed Feb 25 16:41:48 2026 Epoch Time (ms): 1772055708797
[2026-02-25T21:41:49.192Z] variation: NoOptions
[2026-02-25T21:41:49.192Z] JVM_OPTIONS:
[2026-02-25T21:41:49.192Z] { \
[2026-02-25T21:41:49.192Z] echo ""; echo "TEST SETUP:"; \
[2026-02-25T21:41:49.192Z] echo "Nothing to be done for setup."; \
[2026-02-25T21:41:49.192Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17720553862045/renaissance-movie-lens_0"; \
[2026-02-25T21:41:49.192Z] cd "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17720553862045/renaissance-movie-lens_0"; \
[2026-02-25T21:41:49.192Z] echo ""; echo "TESTING:"; \
[2026-02-25T21:41:49.192Z] "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_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_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17720553862045/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-25T21:41:49.192Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17720553862045/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-25T21:41:49.192Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-25T21:41:49.192Z] echo "Nothing to be done for teardown."; \
[2026-02-25T21:41:49.192Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17720553862045/TestTargetResult";
[2026-02-25T21:41:49.192Z]
[2026-02-25T21:41:49.192Z] TEST SETUP:
[2026-02-25T21:41:49.192Z] Nothing to be done for setup.
[2026-02-25T21:41:49.192Z]
[2026-02-25T21:41:49.192Z] TESTING:
[2026-02-25T21:41:51.543Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-02-25T21:41:53.895Z] 16:41:53.792 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.
[2026-02-25T21:41:54.660Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-25T21:41:55.011Z] Training: 60056, validation: 20285, test: 19854
[2026-02-25T21:41:55.011Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-25T21:41:55.011Z] GC before operation: completed in 43.895 ms, heap usage 230.517 MB -> 75.887 MB.
[2026-02-25T21:41:58.084Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-25T21:41:59.325Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-25T21:42:01.142Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-25T21:42:02.379Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-25T21:42:03.628Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-25T21:42:04.380Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-25T21:42:05.139Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-25T21:42:05.897Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-25T21:42:05.897Z] 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.
[2026-02-25T21:42:05.897Z] The best model improves the baseline by 14.52%.
[2026-02-25T21:42:06.244Z] Top recommended movies for user id 72:
[2026-02-25T21:42:06.244Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-25T21:42:06.244Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-25T21:42:06.244Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-25T21:42:06.244Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-25T21:42:06.244Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-25T21:42:06.244Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (11020.361 ms) ======
[2026-02-25T21:42:06.244Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-25T21:42:06.244Z] GC before operation: completed in 43.746 ms, heap usage 318.503 MB -> 90.305 MB.
[2026-02-25T21:42:07.451Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-25T21:42:08.667Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-25T21:42:09.881Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-25T21:42:11.155Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-25T21:42:11.912Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-25T21:42:12.687Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-25T21:42:13.443Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-25T21:42:14.199Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-25T21:42:14.199Z] 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.
[2026-02-25T21:42:14.199Z] The best model improves the baseline by 14.52%.
[2026-02-25T21:42:14.199Z] Top recommended movies for user id 72:
[2026-02-25T21:42:14.199Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-25T21:42:14.199Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-25T21:42:14.199Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-25T21:42:14.199Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-25T21:42:14.199Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-25T21:42:14.199Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (8117.864 ms) ======
[2026-02-25T21:42:14.199Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-25T21:42:14.199Z] GC before operation: completed in 48.893 ms, heap usage 809.757 MB -> 95.449 MB.
[2026-02-25T21:42:15.422Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-25T21:42:16.653Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-25T21:42:17.891Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-25T21:42:19.115Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-25T21:42:19.871Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-25T21:42:20.635Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-25T21:42:20.986Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-25T21:42:21.750Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-25T21:42:22.180Z] 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.
[2026-02-25T21:42:22.180Z] The best model improves the baseline by 14.52%.
[2026-02-25T21:42:22.180Z] Top recommended movies for user id 72:
[2026-02-25T21:42:22.180Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-25T21:42:22.180Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-25T21:42:22.180Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-25T21:42:22.180Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-25T21:42:22.180Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-25T21:42:22.180Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (7716.825 ms) ======
[2026-02-25T21:42:22.180Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-25T21:42:22.180Z] GC before operation: completed in 49.543 ms, heap usage 454.408 MB -> 89.804 MB.
[2026-02-25T21:42:23.389Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-25T21:42:24.604Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-25T21:42:25.816Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-25T21:42:26.575Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-25T21:42:27.328Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-25T21:42:28.085Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-25T21:42:28.841Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-25T21:42:29.591Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-25T21:42:29.591Z] 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.
[2026-02-25T21:42:29.591Z] The best model improves the baseline by 14.52%.
[2026-02-25T21:42:29.591Z] Top recommended movies for user id 72:
[2026-02-25T21:42:29.591Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-25T21:42:29.591Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-25T21:42:29.591Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-25T21:42:29.591Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-25T21:42:29.591Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-25T21:42:29.591Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (7483.629 ms) ======
[2026-02-25T21:42:29.591Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-25T21:42:29.591Z] GC before operation: completed in 41.663 ms, heap usage 271.012 MB -> 91.070 MB.
[2026-02-25T21:42:30.800Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-25T21:42:32.027Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-25T21:42:32.777Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-25T21:42:33.986Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-25T21:42:34.741Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-25T21:42:35.512Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-25T21:42:35.866Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-25T21:42:36.628Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-25T21:42:36.628Z] 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.
[2026-02-25T21:42:36.628Z] The best model improves the baseline by 14.52%.
[2026-02-25T21:42:36.628Z] Top recommended movies for user id 72:
[2026-02-25T21:42:36.628Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-25T21:42:36.628Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-25T21:42:36.628Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-25T21:42:36.628Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-25T21:42:36.628Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-25T21:42:36.628Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (7167.193 ms) ======
[2026-02-25T21:42:36.628Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-25T21:42:36.628Z] GC before operation: completed in 39.830 ms, heap usage 199.105 MB -> 89.690 MB.
[2026-02-25T21:42:37.858Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-25T21:42:39.084Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-25T21:42:40.318Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-25T21:42:41.072Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-25T21:42:41.827Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-25T21:42:42.600Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-25T21:42:43.353Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-25T21:42:44.109Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-25T21:42:44.109Z] 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.
[2026-02-25T21:42:44.109Z] The best model improves the baseline by 14.52%.
[2026-02-25T21:42:44.109Z] Top recommended movies for user id 72:
[2026-02-25T21:42:44.109Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-25T21:42:44.109Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-25T21:42:44.109Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-25T21:42:44.109Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-25T21:42:44.109Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-25T21:42:44.109Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (7401.154 ms) ======
[2026-02-25T21:42:44.110Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-25T21:42:44.110Z] GC before operation: completed in 47.640 ms, heap usage 287.897 MB -> 90.334 MB.
[2026-02-25T21:42:45.330Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-25T21:42:46.546Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-25T21:42:47.769Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-25T21:42:48.990Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-25T21:42:49.755Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-25T21:42:50.106Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-25T21:42:50.875Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-25T21:42:51.647Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-25T21:42:52.006Z] 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.
[2026-02-25T21:42:52.006Z] The best model improves the baseline by 14.52%.
[2026-02-25T21:42:52.006Z] Top recommended movies for user id 72:
[2026-02-25T21:42:52.006Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-25T21:42:52.006Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-25T21:42:52.006Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-25T21:42:52.006Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-25T21:42:52.006Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-25T21:42:52.006Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (7683.287 ms) ======
[2026-02-25T21:42:52.006Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-25T21:42:52.006Z] GC before operation: completed in 45.165 ms, heap usage 705.309 MB -> 93.965 MB.
[2026-02-25T21:42:53.226Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-25T21:42:54.455Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-25T21:42:55.686Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-25T21:42:56.543Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-25T21:42:57.299Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-25T21:42:58.054Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-25T21:42:58.805Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-25T21:42:59.565Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-25T21:42:59.565Z] 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.
[2026-02-25T21:42:59.565Z] The best model improves the baseline by 14.52%.
[2026-02-25T21:42:59.565Z] Top recommended movies for user id 72:
[2026-02-25T21:42:59.565Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-25T21:42:59.565Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-25T21:42:59.565Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-25T21:42:59.565Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-25T21:42:59.565Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-25T21:42:59.565Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (7590.786 ms) ======
[2026-02-25T21:42:59.565Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-25T21:42:59.565Z] GC before operation: completed in 42.858 ms, heap usage 183.779 MB -> 90.281 MB.
[2026-02-25T21:43:00.802Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-25T21:43:02.043Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-25T21:43:03.284Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-25T21:43:04.512Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-25T21:43:04.862Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-25T21:43:05.629Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-25T21:43:06.383Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-25T21:43:06.733Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-25T21:43:07.096Z] 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.
[2026-02-25T21:43:07.096Z] The best model improves the baseline by 14.52%.
[2026-02-25T21:43:07.096Z] Top recommended movies for user id 72:
[2026-02-25T21:43:07.096Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-25T21:43:07.096Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-25T21:43:07.096Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-25T21:43:07.096Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-25T21:43:07.096Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-25T21:43:07.096Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (7481.903 ms) ======
[2026-02-25T21:43:07.096Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-25T21:43:07.096Z] GC before operation: completed in 40.609 ms, heap usage 290.056 MB -> 90.363 MB.
[2026-02-25T21:43:08.313Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-25T21:43:09.538Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-25T21:43:10.760Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-25T21:43:11.521Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-25T21:43:12.277Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-25T21:43:13.030Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-25T21:43:13.789Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-25T21:43:14.555Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-25T21:43:14.555Z] 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.
[2026-02-25T21:43:14.555Z] The best model improves the baseline by 14.52%.
[2026-02-25T21:43:14.556Z] Top recommended movies for user id 72:
[2026-02-25T21:43:14.556Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-25T21:43:14.556Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-25T21:43:14.556Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-25T21:43:14.556Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-25T21:43:14.556Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-25T21:43:14.556Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (7453.462 ms) ======
[2026-02-25T21:43:14.556Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-25T21:43:14.556Z] GC before operation: completed in 52.303 ms, heap usage 261.352 MB -> 90.623 MB.
[2026-02-25T21:43:15.773Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-25T21:43:16.988Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-25T21:43:18.212Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-25T21:43:18.971Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-25T21:43:19.725Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-25T21:43:20.480Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-25T21:43:20.844Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-25T21:43:21.597Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-25T21:43:21.947Z] 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.
[2026-02-25T21:43:21.947Z] The best model improves the baseline by 14.52%.
[2026-02-25T21:43:21.947Z] Top recommended movies for user id 72:
[2026-02-25T21:43:21.947Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-25T21:43:21.947Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-25T21:43:21.947Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-25T21:43:21.947Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-25T21:43:21.947Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-25T21:43:21.947Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (7279.353 ms) ======
[2026-02-25T21:43:21.947Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-25T21:43:21.947Z] GC before operation: completed in 49.709 ms, heap usage 469.683 MB -> 93.844 MB.
[2026-02-25T21:43:23.157Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-25T21:43:24.364Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-25T21:43:25.135Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-25T21:43:26.354Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-25T21:43:26.711Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-25T21:43:27.459Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-25T21:43:28.237Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-25T21:43:28.585Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-25T21:43:28.585Z] 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.
[2026-02-25T21:43:28.585Z] The best model improves the baseline by 14.52%.
[2026-02-25T21:43:28.937Z] Top recommended movies for user id 72:
[2026-02-25T21:43:28.937Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-25T21:43:28.937Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-25T21:43:28.937Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-25T21:43:28.937Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-25T21:43:28.937Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-25T21:43:28.937Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (6819.705 ms) ======
[2026-02-25T21:43:28.937Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-25T21:43:28.937Z] GC before operation: completed in 48.358 ms, heap usage 298.575 MB -> 93.829 MB.
[2026-02-25T21:43:29.698Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-25T21:43:30.910Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-25T21:43:32.147Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-25T21:43:32.907Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-25T21:43:33.296Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-25T21:43:34.056Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-25T21:43:34.849Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-25T21:43:35.214Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-25T21:43:35.567Z] 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.
[2026-02-25T21:43:35.567Z] The best model improves the baseline by 14.52%.
[2026-02-25T21:43:35.567Z] Top recommended movies for user id 72:
[2026-02-25T21:43:35.567Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-25T21:43:35.567Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-25T21:43:35.567Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-25T21:43:35.567Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-25T21:43:35.567Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-25T21:43:35.567Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (6688.150 ms) ======
[2026-02-25T21:43:35.567Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-25T21:43:35.567Z] GC before operation: completed in 44.872 ms, heap usage 380.152 MB -> 94.502 MB.
[2026-02-25T21:43:36.778Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-25T21:43:37.994Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-25T21:43:39.219Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-25T21:43:40.438Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-25T21:43:41.198Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-25T21:43:41.956Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-25T21:43:42.715Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-25T21:43:43.494Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-25T21:43:43.494Z] 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.
[2026-02-25T21:43:43.494Z] The best model improves the baseline by 14.52%.
[2026-02-25T21:43:43.494Z] Top recommended movies for user id 72:
[2026-02-25T21:43:43.494Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-25T21:43:43.494Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-25T21:43:43.494Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-25T21:43:43.494Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-25T21:43:43.494Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-25T21:43:43.494Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (7937.530 ms) ======
[2026-02-25T21:43:43.494Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-25T21:43:43.494Z] GC before operation: completed in 46.272 ms, heap usage 184.144 MB -> 96.046 MB.
[2026-02-25T21:43:44.728Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-25T21:43:45.946Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-25T21:43:47.160Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-25T21:43:47.918Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-25T21:43:48.709Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-25T21:43:49.464Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-25T21:43:50.217Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-25T21:43:50.981Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-25T21:43:50.981Z] 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.
[2026-02-25T21:43:50.981Z] The best model improves the baseline by 14.52%.
[2026-02-25T21:43:50.981Z] Top recommended movies for user id 72:
[2026-02-25T21:43:50.981Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-25T21:43:50.981Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-25T21:43:50.981Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-25T21:43:50.981Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-25T21:43:50.981Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-25T21:43:50.981Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (7512.099 ms) ======
[2026-02-25T21:43:50.981Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-25T21:43:50.981Z] GC before operation: completed in 47.560 ms, heap usage 498.580 MB -> 93.378 MB.
[2026-02-25T21:43:52.221Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-25T21:43:53.475Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-25T21:43:54.691Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-25T21:43:55.898Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-25T21:43:56.650Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-25T21:43:57.013Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-25T21:43:57.782Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-25T21:43:58.540Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-25T21:43:58.540Z] 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.
[2026-02-25T21:43:58.540Z] The best model improves the baseline by 14.52%.
[2026-02-25T21:43:58.898Z] Top recommended movies for user id 72:
[2026-02-25T21:43:58.898Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-25T21:43:58.898Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-25T21:43:58.898Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-25T21:43:58.898Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-25T21:43:58.898Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-25T21:43:58.898Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (7643.241 ms) ======
[2026-02-25T21:43:58.898Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-25T21:43:58.898Z] GC before operation: completed in 47.419 ms, heap usage 286.204 MB -> 90.455 MB.
[2026-02-25T21:44:00.114Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-25T21:44:01.349Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-25T21:44:02.586Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-25T21:44:03.841Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-25T21:44:04.192Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-25T21:44:04.950Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-25T21:44:05.710Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-25T21:44:06.477Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-25T21:44:06.477Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-25T21:44:06.477Z] The best model improves the baseline by 14.52%.
[2026-02-25T21:44:06.477Z] Top recommended movies for user id 72:
[2026-02-25T21:44:06.477Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-25T21:44:06.477Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-25T21:44:06.477Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-25T21:44:06.477Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-25T21:44:06.477Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-25T21:44:06.477Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (7779.757 ms) ======
[2026-02-25T21:44:06.477Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-25T21:44:06.477Z] GC before operation: completed in 46.035 ms, heap usage 440.413 MB -> 90.669 MB.
[2026-02-25T21:44:07.722Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-25T21:44:08.950Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-25T21:44:10.177Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-25T21:44:11.385Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-25T21:44:12.149Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-25T21:44:12.927Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-25T21:44:13.690Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-25T21:44:14.040Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-25T21:44:14.040Z] 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.
[2026-02-25T21:44:14.040Z] The best model improves the baseline by 14.52%.
[2026-02-25T21:44:14.390Z] Top recommended movies for user id 72:
[2026-02-25T21:44:14.390Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-25T21:44:14.390Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-25T21:44:14.390Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-25T21:44:14.390Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-25T21:44:14.390Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-25T21:44:14.390Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (7603.333 ms) ======
[2026-02-25T21:44:14.390Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-25T21:44:14.390Z] GC before operation: completed in 44.090 ms, heap usage 240.721 MB -> 93.905 MB.
[2026-02-25T21:44:15.610Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-25T21:44:16.841Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-25T21:44:18.056Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-25T21:44:19.286Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-25T21:44:20.048Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-25T21:44:20.399Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-25T21:44:21.298Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-25T21:44:21.656Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-25T21:44:22.019Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-25T21:44:22.019Z] The best model improves the baseline by 14.52%.
[2026-02-25T21:44:22.019Z] Top recommended movies for user id 72:
[2026-02-25T21:44:22.019Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-25T21:44:22.019Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-25T21:44:22.019Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-25T21:44:22.019Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-25T21:44:22.019Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-25T21:44:22.019Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (7731.212 ms) ======
[2026-02-25T21:44:22.019Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-25T21:44:22.019Z] GC before operation: completed in 44.904 ms, heap usage 126.293 MB -> 92.078 MB.
[2026-02-25T21:44:23.253Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-25T21:44:24.477Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-25T21:44:25.715Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-25T21:44:26.948Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-25T21:44:27.703Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-25T21:44:28.464Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-25T21:44:29.215Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-25T21:44:29.964Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-25T21:44:29.964Z] 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.
[2026-02-25T21:44:29.964Z] The best model improves the baseline by 14.52%.
[2026-02-25T21:44:29.964Z] Top recommended movies for user id 72:
[2026-02-25T21:44:29.964Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-25T21:44:29.964Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-25T21:44:29.964Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-25T21:44:29.964Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-25T21:44:29.964Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-25T21:44:29.964Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (7903.207 ms) ======
[2026-02-25T21:44:30.314Z] -----------------------------------
[2026-02-25T21:44:30.314Z] renaissance-movie-lens_0_PASSED
[2026-02-25T21:44:30.314Z] -----------------------------------
[2026-02-25T21:44:30.314Z]
[2026-02-25T21:44:30.314Z] TEST TEARDOWN:
[2026-02-25T21:44:30.314Z] Nothing to be done for teardown.
[2026-02-25T21:44:30.314Z] renaissance-movie-lens_0 Finish Time: Wed Feb 25 16:44:29 2026 Epoch Time (ms): 1772055869953