renaissance-movie-lens_0
[2026-01-21T20:43:07.887Z] Running test renaissance-movie-lens_0 ...
[2026-01-21T20:43:07.887Z] ===============================================
[2026-01-21T20:43:07.887Z] renaissance-movie-lens_0 Start Time: Wed Jan 21 15:43:07 2026 Epoch Time (ms): 1769028187604
[2026-01-21T20:43:07.887Z] variation: NoOptions
[2026-01-21T20:43:07.887Z] JVM_OPTIONS:
[2026-01-21T20:43:07.887Z] { \
[2026-01-21T20:43:07.887Z] echo ""; echo "TEST SETUP:"; \
[2026-01-21T20:43:07.887Z] echo "Nothing to be done for setup."; \
[2026-01-21T20:43:07.887Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17690264467858/renaissance-movie-lens_0"; \
[2026-01-21T20:43:07.887Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17690264467858/renaissance-movie-lens_0"; \
[2026-01-21T20:43:07.887Z] echo ""; echo "TESTING:"; \
[2026-01-21T20:43:07.887Z] "/Users/admin/workspace/workspace/Test_openjdk25_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_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17690264467858/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-01-21T20:43:07.887Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17690264467858/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-01-21T20:43:07.887Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-01-21T20:43:07.887Z] echo "Nothing to be done for teardown."; \
[2026-01-21T20:43:07.887Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17690264467858/TestTargetResult";
[2026-01-21T20:43:07.887Z]
[2026-01-21T20:43:07.887Z] TEST SETUP:
[2026-01-21T20:43:07.887Z] Nothing to be done for setup.
[2026-01-21T20:43:07.887Z]
[2026-01-21T20:43:07.887Z] TESTING:
[2026-01-21T20:43:08.806Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-01-21T20:43:08.806Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/output_17690264467858/renaissance-movie-lens_0/launcher-154308-17992660871834896558/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-01-21T20:43:08.806Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-01-21T20:43:08.806Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-01-21T20:43:21.506Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-01-21T20:43:36.425Z] 15:43:35.268 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-01-21T20:43:39.453Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-01-21T20:43:41.048Z] Training: 60056, validation: 20285, test: 19854
[2026-01-21T20:43:41.049Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-01-21T20:43:41.049Z] GC before operation: completed in 161.495 ms, heap usage 338.847 MB -> 75.281 MB.
[2026-01-21T20:43:59.095Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T20:44:11.386Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T20:44:20.118Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T20:44:30.497Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T20:44:36.476Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T20:44:43.754Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T20:44:48.456Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T20:44:54.118Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T20:44:55.118Z] 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.
[2026-01-21T20:44:55.577Z] The best model improves the baseline by 14.52%.
[2026-01-21T20:44:56.013Z] Top recommended movies for user id 72:
[2026-01-21T20:44:56.013Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T20:44:56.013Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T20:44:56.013Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T20:44:56.013Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T20:44:56.013Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T20:44:56.013Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (74987.389 ms) ======
[2026-01-21T20:44:56.013Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-01-21T20:44:56.013Z] GC before operation: completed in 245.998 ms, heap usage 199.360 MB -> 85.759 MB.
[2026-01-21T20:45:04.635Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T20:45:15.206Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T20:45:23.814Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T20:45:31.591Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T20:45:37.787Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T20:45:42.797Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T20:45:47.838Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T20:45:51.804Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T20:45:52.247Z] 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.
[2026-01-21T20:45:52.247Z] The best model improves the baseline by 14.52%.
[2026-01-21T20:45:52.687Z] Top recommended movies for user id 72:
[2026-01-21T20:45:52.687Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T20:45:52.687Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T20:45:52.687Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T20:45:52.687Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T20:45:52.687Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T20:45:52.687Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (56509.799 ms) ======
[2026-01-21T20:45:52.687Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-01-21T20:45:53.260Z] GC before operation: completed in 250.144 ms, heap usage 1.033 GB -> 93.045 MB.
[2026-01-21T20:46:02.212Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T20:46:12.395Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T20:46:18.148Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T20:46:25.405Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T20:46:30.238Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T20:46:35.379Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T20:46:41.480Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T20:46:47.540Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T20:46:48.632Z] 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.
[2026-01-21T20:46:48.633Z] The best model improves the baseline by 14.52%.
[2026-01-21T20:46:49.115Z] Top recommended movies for user id 72:
[2026-01-21T20:46:49.115Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T20:46:49.115Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T20:46:49.115Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T20:46:49.115Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T20:46:49.115Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T20:46:49.115Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (56002.433 ms) ======
[2026-01-21T20:46:49.115Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-01-21T20:46:49.115Z] GC before operation: completed in 150.617 ms, heap usage 350.764 MB -> 88.756 MB.
[2026-01-21T20:46:59.949Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T20:47:08.459Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T20:47:21.195Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T20:47:28.538Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T20:47:34.474Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T20:47:40.400Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T20:47:46.170Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T20:47:52.083Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T20:47:52.517Z] 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.
[2026-01-21T20:47:52.517Z] The best model improves the baseline by 14.52%.
[2026-01-21T20:47:52.963Z] Top recommended movies for user id 72:
[2026-01-21T20:47:52.963Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T20:47:52.963Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T20:47:52.963Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T20:47:52.963Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T20:47:52.963Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T20:47:52.963Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (63792.704 ms) ======
[2026-01-21T20:47:52.963Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-01-21T20:47:52.963Z] GC before operation: completed in 214.173 ms, heap usage 178.796 MB -> 88.976 MB.
[2026-01-21T20:48:01.594Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T20:48:10.183Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T20:48:18.918Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T20:48:27.557Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T20:48:33.726Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T20:48:38.586Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T20:48:43.532Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T20:48:48.327Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T20:48:48.327Z] 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.
[2026-01-21T20:48:48.327Z] The best model improves the baseline by 14.52%.
[2026-01-21T20:48:48.757Z] Top recommended movies for user id 72:
[2026-01-21T20:48:48.757Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T20:48:48.757Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T20:48:48.757Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T20:48:48.757Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T20:48:48.757Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T20:48:48.757Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (55661.121 ms) ======
[2026-01-21T20:48:48.757Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-01-21T20:48:49.238Z] GC before operation: completed in 218.673 ms, heap usage 208.561 MB -> 88.721 MB.
[2026-01-21T20:48:57.648Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T20:49:04.752Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T20:49:11.955Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T20:49:19.052Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T20:49:23.659Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T20:49:29.676Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T20:49:34.724Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T20:49:38.519Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T20:49:39.061Z] 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.
[2026-01-21T20:49:39.061Z] The best model improves the baseline by 14.52%.
[2026-01-21T20:49:40.204Z] Top recommended movies for user id 72:
[2026-01-21T20:49:40.204Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T20:49:40.204Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T20:49:40.204Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T20:49:40.204Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T20:49:40.204Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T20:49:40.204Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (51279.895 ms) ======
[2026-01-21T20:49:40.204Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-01-21T20:49:40.809Z] GC before operation: completed in 197.393 ms, heap usage 1014.047 MB -> 94.162 MB.
[2026-01-21T20:49:49.558Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T20:49:58.285Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T20:50:05.554Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T20:50:14.264Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T20:50:18.947Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T20:50:23.552Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T20:50:28.303Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T20:50:34.247Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T20:50:34.247Z] 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.
[2026-01-21T20:50:34.247Z] The best model improves the baseline by 14.52%.
[2026-01-21T20:50:34.247Z] Top recommended movies for user id 72:
[2026-01-21T20:50:34.247Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T20:50:34.247Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T20:50:34.247Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T20:50:34.247Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T20:50:34.247Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T20:50:34.247Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (53992.536 ms) ======
[2026-01-21T20:50:34.247Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-01-21T20:50:34.680Z] GC before operation: completed in 205.965 ms, heap usage 100.377 MB -> 89.470 MB.
[2026-01-21T20:50:45.373Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T20:50:51.078Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T20:51:01.829Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T20:51:09.168Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T20:51:14.013Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T20:51:20.069Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T20:51:24.779Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T20:51:29.384Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T20:51:30.385Z] 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.
[2026-01-21T20:51:30.385Z] The best model improves the baseline by 14.52%.
[2026-01-21T20:51:30.385Z] Top recommended movies for user id 72:
[2026-01-21T20:51:30.385Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T20:51:30.385Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T20:51:30.385Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T20:51:30.385Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T20:51:30.385Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T20:51:30.385Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (55945.562 ms) ======
[2026-01-21T20:51:30.385Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-01-21T20:51:31.428Z] GC before operation: completed in 594.533 ms, heap usage 352.663 MB -> 89.453 MB.
[2026-01-21T20:51:40.382Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T20:51:47.664Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T20:51:58.025Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T20:52:06.717Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T20:52:13.814Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T20:52:19.562Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T20:52:25.736Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T20:52:31.757Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T20:52:32.223Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-21T20:52:32.618Z] The best model improves the baseline by 14.52%.
[2026-01-21T20:52:32.618Z] Top recommended movies for user id 72:
[2026-01-21T20:52:32.618Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T20:52:32.618Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T20:52:32.618Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T20:52:32.618Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T20:52:32.618Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T20:52:32.618Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (61620.897 ms) ======
[2026-01-21T20:52:32.618Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-01-21T20:52:33.099Z] GC before operation: completed in 167.427 ms, heap usage 158.945 MB -> 89.379 MB.
[2026-01-21T20:52:41.653Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T20:52:50.280Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T20:52:59.100Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T20:53:06.165Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T20:53:10.879Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T20:53:15.892Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T20:53:20.672Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T20:53:25.423Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T20:53:26.418Z] 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.
[2026-01-21T20:53:26.418Z] The best model improves the baseline by 14.52%.
[2026-01-21T20:53:26.835Z] Top recommended movies for user id 72:
[2026-01-21T20:53:26.835Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T20:53:26.836Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T20:53:26.836Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T20:53:26.836Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T20:53:26.836Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T20:53:26.836Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (53719.561 ms) ======
[2026-01-21T20:53:26.836Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-01-21T20:53:26.836Z] GC before operation: completed in 227.899 ms, heap usage 152.428 MB -> 89.166 MB.
[2026-01-21T20:53:35.715Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T20:53:46.591Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T20:53:55.553Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T20:54:04.650Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T20:54:09.426Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T20:54:14.188Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T20:54:20.142Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T20:54:24.943Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T20:54:24.943Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-21T20:54:24.943Z] The best model improves the baseline by 14.52%.
[2026-01-21T20:54:25.417Z] Top recommended movies for user id 72:
[2026-01-21T20:54:25.417Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T20:54:25.417Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T20:54:25.417Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T20:54:25.417Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T20:54:25.417Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T20:54:25.417Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (58429.134 ms) ======
[2026-01-21T20:54:25.417Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-01-21T20:54:25.417Z] GC before operation: completed in 141.792 ms, heap usage 175.462 MB -> 89.206 MB.
[2026-01-21T20:54:34.718Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T20:54:41.820Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T20:54:50.440Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T20:55:00.911Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T20:55:05.558Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T20:55:10.297Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T20:55:14.938Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T20:55:20.569Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T20:55:21.485Z] 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.
[2026-01-21T20:55:21.485Z] The best model improves the baseline by 14.52%.
[2026-01-21T20:55:21.897Z] Top recommended movies for user id 72:
[2026-01-21T20:55:21.897Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T20:55:21.897Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T20:55:21.897Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T20:55:21.897Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T20:55:21.897Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T20:55:21.897Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (56191.533 ms) ======
[2026-01-21T20:55:21.897Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-01-21T20:55:21.897Z] GC before operation: completed in 198.720 ms, heap usage 197.962 MB -> 90.189 MB.
[2026-01-21T20:55:30.325Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T20:55:36.127Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T20:55:48.178Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T20:55:55.286Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T20:56:00.108Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T20:56:04.940Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T20:56:09.765Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T20:56:14.532Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T20:56:14.532Z] 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.
[2026-01-21T20:56:14.532Z] The best model improves the baseline by 14.52%.
[2026-01-21T20:56:14.532Z] Top recommended movies for user id 72:
[2026-01-21T20:56:14.532Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T20:56:14.532Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T20:56:14.532Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T20:56:14.532Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T20:56:14.532Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T20:56:14.532Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (52676.107 ms) ======
[2026-01-21T20:56:14.532Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-01-21T20:56:14.965Z] GC before operation: completed in 237.598 ms, heap usage 1.513 GB -> 95.944 MB.
[2026-01-21T20:56:23.712Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T20:56:30.908Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T20:56:41.347Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T20:56:48.495Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T20:56:55.698Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T20:57:01.692Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T20:57:05.744Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T20:57:10.527Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T20:57:12.244Z] 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.
[2026-01-21T20:57:12.244Z] The best model improves the baseline by 14.52%.
[2026-01-21T20:57:12.717Z] Top recommended movies for user id 72:
[2026-01-21T20:57:12.717Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T20:57:12.717Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T20:57:12.717Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T20:57:12.717Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T20:57:12.717Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T20:57:12.717Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (57651.975 ms) ======
[2026-01-21T20:57:12.717Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-01-21T20:57:12.717Z] GC before operation: completed in 267.716 ms, heap usage 1.272 GB -> 95.104 MB.
[2026-01-21T20:57:21.481Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T20:57:28.431Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T20:57:35.428Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T20:57:43.944Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T20:57:47.507Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T20:57:50.483Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T20:57:54.308Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T20:57:59.038Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T20:58:00.169Z] 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.
[2026-01-21T20:58:00.170Z] The best model improves the baseline by 14.52%.
[2026-01-21T20:58:00.580Z] Top recommended movies for user id 72:
[2026-01-21T20:58:00.580Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T20:58:00.580Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T20:58:00.580Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T20:58:00.580Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T20:58:00.580Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T20:58:00.580Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (47727.869 ms) ======
[2026-01-21T20:58:00.580Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-01-21T20:58:00.580Z] GC before operation: completed in 238.558 ms, heap usage 969.494 MB -> 94.451 MB.
[2026-01-21T20:58:09.408Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T20:58:20.035Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T20:58:24.656Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T20:58:31.721Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T20:58:34.535Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T20:58:39.137Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T20:58:43.599Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T20:58:48.237Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T20:58:48.237Z] 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.
[2026-01-21T20:58:48.237Z] The best model improves the baseline by 14.52%.
[2026-01-21T20:58:48.237Z] Top recommended movies for user id 72:
[2026-01-21T20:58:48.237Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T20:58:48.237Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T20:58:48.237Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T20:58:48.237Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T20:58:48.237Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T20:58:48.237Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (47467.908 ms) ======
[2026-01-21T20:58:48.237Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-01-21T20:58:48.237Z] GC before operation: completed in 205.767 ms, heap usage 439.114 MB -> 89.682 MB.
[2026-01-21T20:58:57.044Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T20:59:04.405Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T20:59:14.699Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T20:59:20.269Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T20:59:25.973Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T20:59:29.891Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T20:59:34.558Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T20:59:38.314Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T20:59:39.190Z] 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.
[2026-01-21T20:59:39.190Z] The best model improves the baseline by 14.52%.
[2026-01-21T20:59:39.593Z] Top recommended movies for user id 72:
[2026-01-21T20:59:39.593Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T20:59:39.593Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T20:59:39.593Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T20:59:39.593Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T20:59:39.593Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T20:59:39.593Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (51074.405 ms) ======
[2026-01-21T20:59:39.593Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-01-21T20:59:39.593Z] GC before operation: completed in 191.980 ms, heap usage 276.399 MB -> 89.766 MB.
[2026-01-21T20:59:50.031Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T20:59:58.712Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T21:00:07.349Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T21:00:16.004Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T21:00:20.676Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T21:00:25.256Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T21:00:29.043Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T21:00:32.958Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T21:00:34.614Z] 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.
[2026-01-21T21:00:34.614Z] The best model improves the baseline by 14.52%.
[2026-01-21T21:00:34.614Z] Top recommended movies for user id 72:
[2026-01-21T21:00:34.614Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T21:00:34.614Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T21:00:34.614Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T21:00:34.614Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T21:00:34.614Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T21:00:34.614Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (55005.146 ms) ======
[2026-01-21T21:00:34.614Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-01-21T21:00:35.080Z] GC before operation: completed in 181.593 ms, heap usage 352.979 MB -> 89.554 MB.
[2026-01-21T21:00:43.527Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T21:00:52.271Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T21:00:58.379Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T21:01:05.629Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T21:01:11.377Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T21:01:14.364Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T21:01:18.196Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T21:01:22.749Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T21:01:23.265Z] 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.
[2026-01-21T21:01:23.265Z] The best model improves the baseline by 14.52%.
[2026-01-21T21:01:24.410Z] Top recommended movies for user id 72:
[2026-01-21T21:01:24.410Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T21:01:24.410Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T21:01:24.410Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T21:01:24.410Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T21:01:24.410Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T21:01:24.410Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (49251.614 ms) ======
[2026-01-21T21:01:24.410Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-01-21T21:01:24.410Z] GC before operation: completed in 147.659 ms, heap usage 138.141 MB -> 89.508 MB.
[2026-01-21T21:01:33.045Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-21T21:01:40.100Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-21T21:01:47.056Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-21T21:01:52.762Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-21T21:01:57.531Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-21T21:02:02.293Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-21T21:02:06.074Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-21T21:02:09.889Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-21T21:02:10.332Z] 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.
[2026-01-21T21:02:10.332Z] The best model improves the baseline by 14.52%.
[2026-01-21T21:02:10.759Z] Top recommended movies for user id 72:
[2026-01-21T21:02:10.759Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-21T21:02:10.759Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-21T21:02:10.759Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-21T21:02:10.759Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-21T21:02:10.759Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-21T21:02:10.759Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (46383.980 ms) ======
[2026-01-21T21:02:12.726Z] -----------------------------------
[2026-01-21T21:02:12.726Z] renaissance-movie-lens_0_PASSED
[2026-01-21T21:02:12.726Z] -----------------------------------
[2026-01-21T21:02:12.726Z]
[2026-01-21T21:02:12.726Z] TEST TEARDOWN:
[2026-01-21T21:02:12.726Z] Nothing to be done for teardown.
[2026-01-21T21:02:13.145Z] renaissance-movie-lens_0 Finish Time: Wed Jan 21 16:02:12 2026 Epoch Time (ms): 1769029332751