renaissance-movie-lens_0
[2026-02-19T22:13:37.618Z] Running test renaissance-movie-lens_0 ...
[2026-02-19T22:13:37.618Z] ===============================================
[2026-02-19T22:13:37.618Z] renaissance-movie-lens_0 Start Time: Thu Feb 19 17:13:37 2026 Epoch Time (ms): 1771539217391
[2026-02-19T22:13:37.618Z] variation: NoOptions
[2026-02-19T22:13:37.618Z] JVM_OPTIONS:
[2026-02-19T22:13:37.618Z] { \
[2026-02-19T22:13:37.618Z] echo ""; echo "TEST SETUP:"; \
[2026-02-19T22:13:37.618Z] echo "Nothing to be done for setup."; \
[2026-02-19T22:13:37.618Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17715387316566/renaissance-movie-lens_0"; \
[2026-02-19T22:13:37.618Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17715387316566/renaissance-movie-lens_0"; \
[2026-02-19T22:13:37.618Z] echo ""; echo "TESTING:"; \
[2026-02-19T22:13:37.618Z] "/Users/admin/workspace/workspace/Test_openjdk25_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_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17715387316566/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-19T22:13:37.618Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17715387316566/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-19T22:13:37.618Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-19T22:13:37.618Z] echo "Nothing to be done for teardown."; \
[2026-02-19T22:13:37.618Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17715387316566/TestTargetResult";
[2026-02-19T22:13:37.618Z]
[2026-02-19T22:13:37.618Z] TEST SETUP:
[2026-02-19T22:13:37.618Z] Nothing to be done for setup.
[2026-02-19T22:13:37.618Z]
[2026-02-19T22:13:37.618Z] TESTING:
[2026-02-19T22:13:37.984Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-02-19T22:13:37.984Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/output_17715387316566/renaissance-movie-lens_0/launcher-171337-4847436437461331582/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-02-19T22:13:37.984Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-02-19T22:13:37.984Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-02-19T22:13:41.988Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-02-19T22:13:45.138Z] 17:13:44.545 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-02-19T22:13:45.922Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-19T22:13:45.922Z] Training: 60056, validation: 20285, test: 19854
[2026-02-19T22:13:45.922Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-19T22:13:45.922Z] GC before operation: completed in 53.224 ms, heap usage 228.665 MB -> 76.066 MB.
[2026-02-19T22:13:49.090Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T22:13:51.569Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T22:13:53.344Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T22:13:54.579Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T22:13:55.808Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T22:13:57.092Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T22:13:57.886Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T22:13:59.147Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T22:13:59.147Z] 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.
[2026-02-19T22:13:59.147Z] The best model improves the baseline by 14.52%.
[2026-02-19T22:13:59.516Z] Top recommended movies for user id 72:
[2026-02-19T22:13:59.516Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T22:13:59.516Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T22:13:59.516Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T22:13:59.516Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T22:13:59.516Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T22:13:59.516Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (13290.974 ms) ======
[2026-02-19T22:13:59.516Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-19T22:13:59.516Z] GC before operation: completed in 93.474 ms, heap usage 164.325 MB -> 90.170 MB.
[2026-02-19T22:14:01.345Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T22:14:03.805Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T22:14:05.759Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T22:14:08.953Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T22:14:08.953Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T22:14:09.714Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T22:14:10.939Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T22:14:12.211Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T22:14:12.211Z] 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.
[2026-02-19T22:14:12.211Z] The best model improves the baseline by 14.52%.
[2026-02-19T22:14:12.211Z] Top recommended movies for user id 72:
[2026-02-19T22:14:12.211Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T22:14:12.211Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T22:14:12.211Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T22:14:12.211Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T22:14:12.211Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T22:14:12.211Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (12801.139 ms) ======
[2026-02-19T22:14:12.211Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-19T22:14:12.211Z] GC before operation: completed in 51.030 ms, heap usage 195.579 MB -> 88.714 MB.
[2026-02-19T22:14:14.010Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T22:14:15.796Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T22:14:17.570Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T22:14:18.809Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T22:14:20.045Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T22:14:21.277Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T22:14:22.537Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T22:14:23.300Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T22:14:23.672Z] 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.
[2026-02-19T22:14:23.672Z] The best model improves the baseline by 14.52%.
[2026-02-19T22:14:23.672Z] Top recommended movies for user id 72:
[2026-02-19T22:14:23.672Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T22:14:23.672Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T22:14:23.672Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T22:14:23.672Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T22:14:23.672Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T22:14:23.672Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (11390.740 ms) ======
[2026-02-19T22:14:23.672Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-19T22:14:23.672Z] GC before operation: completed in 85.307 ms, heap usage 527.722 MB -> 93.161 MB.
[2026-02-19T22:14:25.536Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T22:14:27.343Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T22:14:29.147Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T22:14:30.923Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T22:14:32.178Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T22:14:33.411Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T22:14:33.775Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T22:14:34.592Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T22:14:34.946Z] 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.
[2026-02-19T22:14:34.946Z] The best model improves the baseline by 14.52%.
[2026-02-19T22:14:34.946Z] Top recommended movies for user id 72:
[2026-02-19T22:14:34.946Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T22:14:34.946Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T22:14:34.946Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T22:14:34.946Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T22:14:34.946Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T22:14:34.946Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (11129.301 ms) ======
[2026-02-19T22:14:34.946Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-19T22:14:34.946Z] GC before operation: completed in 48.546 ms, heap usage 261.208 MB -> 89.808 MB.
[2026-02-19T22:14:36.175Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T22:14:37.406Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T22:14:39.185Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T22:14:39.937Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T22:14:40.699Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T22:14:41.453Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T22:14:42.235Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T22:14:42.602Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T22:14:42.982Z] 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.
[2026-02-19T22:14:42.982Z] The best model improves the baseline by 14.52%.
[2026-02-19T22:14:42.982Z] Top recommended movies for user id 72:
[2026-02-19T22:14:42.982Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T22:14:42.982Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T22:14:42.982Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T22:14:42.982Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T22:14:42.982Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T22:14:42.982Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (7944.156 ms) ======
[2026-02-19T22:14:42.982Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-19T22:14:42.982Z] GC before operation: completed in 64.491 ms, heap usage 657.385 MB -> 93.505 MB.
[2026-02-19T22:14:44.211Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T22:14:45.986Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T22:14:47.225Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T22:14:48.537Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T22:14:48.888Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T22:14:49.640Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T22:14:50.395Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T22:14:51.161Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T22:14:51.161Z] 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.
[2026-02-19T22:14:51.161Z] The best model improves the baseline by 14.52%.
[2026-02-19T22:14:51.161Z] Top recommended movies for user id 72:
[2026-02-19T22:14:51.161Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T22:14:51.161Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T22:14:51.161Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T22:14:51.161Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T22:14:51.161Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T22:14:51.161Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (8254.863 ms) ======
[2026-02-19T22:14:51.161Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-19T22:14:51.161Z] GC before operation: completed in 52.201 ms, heap usage 292.767 MB -> 90.137 MB.
[2026-02-19T22:14:52.904Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T22:14:54.107Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T22:14:55.323Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T22:14:56.549Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T22:14:57.308Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T22:14:58.064Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T22:14:58.821Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T22:14:59.581Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T22:14:59.938Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-19T22:14:59.938Z] The best model improves the baseline by 14.52%.
[2026-02-19T22:14:59.938Z] Top recommended movies for user id 72:
[2026-02-19T22:14:59.938Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T22:14:59.938Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T22:14:59.938Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T22:14:59.938Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T22:14:59.938Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T22:14:59.938Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (8673.881 ms) ======
[2026-02-19T22:14:59.938Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-19T22:14:59.938Z] GC before operation: completed in 44.840 ms, heap usage 431.129 MB -> 90.226 MB.
[2026-02-19T22:15:01.174Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T22:15:02.411Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T22:15:03.761Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T22:15:04.974Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T22:15:05.747Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T22:15:06.516Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T22:15:07.737Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T22:15:08.513Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T22:15:08.513Z] 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.
[2026-02-19T22:15:08.513Z] The best model improves the baseline by 14.52%.
[2026-02-19T22:15:08.513Z] Top recommended movies for user id 72:
[2026-02-19T22:15:08.513Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T22:15:08.513Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T22:15:08.513Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T22:15:08.513Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T22:15:08.513Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T22:15:08.513Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (8473.570 ms) ======
[2026-02-19T22:15:08.513Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-19T22:15:08.513Z] GC before operation: completed in 46.196 ms, heap usage 512.811 MB -> 90.726 MB.
[2026-02-19T22:15:09.733Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T22:15:10.958Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T22:15:12.715Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T22:15:13.475Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T22:15:14.738Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T22:15:15.095Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T22:15:16.337Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T22:15:17.123Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T22:15:17.123Z] 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.
[2026-02-19T22:15:17.123Z] The best model improves the baseline by 14.52%.
[2026-02-19T22:15:17.123Z] Top recommended movies for user id 72:
[2026-02-19T22:15:17.123Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T22:15:17.123Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T22:15:17.123Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T22:15:17.123Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T22:15:17.123Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T22:15:17.123Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (8621.889 ms) ======
[2026-02-19T22:15:17.123Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-19T22:15:17.123Z] GC before operation: completed in 49.660 ms, heap usage 292.414 MB -> 90.211 MB.
[2026-02-19T22:15:18.384Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T22:15:19.620Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T22:15:20.928Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T22:15:22.169Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T22:15:22.949Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T22:15:23.710Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T22:15:24.464Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T22:15:25.240Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T22:15:25.240Z] 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.
[2026-02-19T22:15:25.240Z] The best model improves the baseline by 14.52%.
[2026-02-19T22:15:25.616Z] Top recommended movies for user id 72:
[2026-02-19T22:15:25.616Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T22:15:25.616Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T22:15:25.616Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T22:15:25.616Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T22:15:25.616Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T22:15:25.616Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (8259.356 ms) ======
[2026-02-19T22:15:25.616Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-19T22:15:25.616Z] GC before operation: completed in 52.830 ms, heap usage 431.700 MB -> 90.601 MB.
[2026-02-19T22:15:26.852Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T22:15:28.100Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T22:15:29.360Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T22:15:30.607Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T22:15:31.378Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T22:15:32.143Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T22:15:32.934Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T22:15:33.701Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T22:15:33.701Z] 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.
[2026-02-19T22:15:33.701Z] The best model improves the baseline by 14.52%.
[2026-02-19T22:15:33.701Z] Top recommended movies for user id 72:
[2026-02-19T22:15:33.701Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T22:15:33.701Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T22:15:33.701Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T22:15:33.701Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T22:15:33.701Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T22:15:33.701Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (8318.439 ms) ======
[2026-02-19T22:15:33.701Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-19T22:15:33.701Z] GC before operation: completed in 47.798 ms, heap usage 151.482 MB -> 89.879 MB.
[2026-02-19T22:15:34.923Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T22:15:36.132Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T22:15:37.358Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T22:15:39.114Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T22:15:39.476Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T22:15:40.242Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T22:15:41.086Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T22:15:41.860Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T22:15:41.860Z] 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.
[2026-02-19T22:15:41.860Z] The best model improves the baseline by 14.52%.
[2026-02-19T22:15:41.860Z] Top recommended movies for user id 72:
[2026-02-19T22:15:41.860Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T22:15:41.860Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T22:15:41.860Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T22:15:41.860Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T22:15:41.860Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T22:15:41.860Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (8052.027 ms) ======
[2026-02-19T22:15:41.860Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-19T22:15:41.860Z] GC before operation: completed in 54.291 ms, heap usage 289.595 MB -> 90.370 MB.
[2026-02-19T22:15:43.176Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T22:15:44.943Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T22:15:45.714Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T22:15:46.940Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T22:15:47.701Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T22:15:48.481Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T22:15:49.718Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T22:15:50.131Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T22:15:50.516Z] 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.
[2026-02-19T22:15:50.516Z] The best model improves the baseline by 14.52%.
[2026-02-19T22:15:50.516Z] Top recommended movies for user id 72:
[2026-02-19T22:15:50.516Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T22:15:50.516Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T22:15:50.516Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T22:15:50.517Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T22:15:50.517Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T22:15:50.517Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (8480.026 ms) ======
[2026-02-19T22:15:50.517Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-19T22:15:50.517Z] GC before operation: completed in 47.611 ms, heap usage 113.239 MB -> 93.455 MB.
[2026-02-19T22:15:51.750Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T22:15:52.965Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T22:15:54.199Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T22:15:55.962Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T22:15:56.313Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T22:15:57.075Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T22:15:57.836Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T22:15:59.121Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T22:15:59.121Z] 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.
[2026-02-19T22:15:59.121Z] The best model improves the baseline by 14.52%.
[2026-02-19T22:15:59.121Z] Top recommended movies for user id 72:
[2026-02-19T22:15:59.121Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T22:15:59.121Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T22:15:59.121Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T22:15:59.121Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T22:15:59.121Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T22:15:59.121Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (8621.546 ms) ======
[2026-02-19T22:15:59.121Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-19T22:15:59.121Z] GC before operation: completed in 48.015 ms, heap usage 393.802 MB -> 90.486 MB.
[2026-02-19T22:16:00.344Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T22:16:01.579Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T22:16:02.817Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T22:16:04.079Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T22:16:05.302Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T22:16:06.066Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T22:16:07.276Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T22:16:08.064Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T22:16:08.420Z] 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.
[2026-02-19T22:16:08.420Z] The best model improves the baseline by 14.52%.
[2026-02-19T22:16:08.420Z] Top recommended movies for user id 72:
[2026-02-19T22:16:08.420Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T22:16:08.420Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T22:16:08.420Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T22:16:08.420Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T22:16:08.420Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T22:16:08.420Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (9285.321 ms) ======
[2026-02-19T22:16:08.420Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-19T22:16:08.421Z] GC before operation: completed in 56.614 ms, heap usage 150.096 MB -> 91.306 MB.
[2026-02-19T22:16:10.175Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T22:16:11.953Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T22:16:13.198Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T22:16:14.985Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T22:16:16.213Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T22:16:16.970Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T22:16:18.211Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T22:16:18.995Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T22:16:18.995Z] 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.
[2026-02-19T22:16:19.346Z] The best model improves the baseline by 14.52%.
[2026-02-19T22:16:19.346Z] Top recommended movies for user id 72:
[2026-02-19T22:16:19.346Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T22:16:19.346Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T22:16:19.346Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T22:16:19.346Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T22:16:19.346Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T22:16:19.346Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (10751.512 ms) ======
[2026-02-19T22:16:19.346Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-19T22:16:19.346Z] GC before operation: completed in 72.884 ms, heap usage 234.353 MB -> 90.322 MB.
[2026-02-19T22:16:21.122Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T22:16:22.888Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T22:16:24.640Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T22:16:25.872Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T22:16:27.285Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T22:16:27.647Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T22:16:28.865Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T22:16:29.639Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T22:16:29.639Z] 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.
[2026-02-19T22:16:29.639Z] The best model improves the baseline by 14.52%.
[2026-02-19T22:16:29.639Z] Top recommended movies for user id 72:
[2026-02-19T22:16:29.639Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T22:16:29.639Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T22:16:29.639Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T22:16:29.639Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T22:16:29.639Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T22:16:29.639Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (10280.679 ms) ======
[2026-02-19T22:16:29.639Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-19T22:16:29.639Z] GC before operation: completed in 51.385 ms, heap usage 249.824 MB -> 90.245 MB.
[2026-02-19T22:16:31.398Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T22:16:33.173Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T22:16:34.958Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T22:16:36.180Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T22:16:36.946Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T22:16:38.179Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T22:16:38.534Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T22:16:39.766Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T22:16:39.766Z] 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.
[2026-02-19T22:16:39.766Z] The best model improves the baseline by 14.52%.
[2026-02-19T22:16:39.766Z] Top recommended movies for user id 72:
[2026-02-19T22:16:39.766Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T22:16:39.766Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T22:16:39.766Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T22:16:39.766Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T22:16:39.766Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T22:16:39.766Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (10000.147 ms) ======
[2026-02-19T22:16:39.766Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-19T22:16:39.766Z] GC before operation: completed in 44.643 ms, heap usage 351.503 MB -> 90.297 MB.
[2026-02-19T22:16:41.621Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T22:16:42.859Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T22:16:44.626Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T22:16:45.868Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T22:16:47.106Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T22:16:47.872Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T22:16:49.119Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T22:16:49.930Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T22:16:49.930Z] 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.
[2026-02-19T22:16:50.290Z] The best model improves the baseline by 14.52%.
[2026-02-19T22:16:50.290Z] Top recommended movies for user id 72:
[2026-02-19T22:16:50.291Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T22:16:50.291Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T22:16:50.291Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T22:16:50.291Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T22:16:50.291Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T22:16:50.291Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (10532.035 ms) ======
[2026-02-19T22:16:50.291Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-19T22:16:50.291Z] GC before operation: completed in 76.545 ms, heap usage 164.244 MB -> 90.196 MB.
[2026-02-19T22:16:52.095Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T22:16:53.868Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T22:16:55.215Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T22:16:57.015Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T22:16:57.380Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T22:16:58.660Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T22:16:59.411Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T22:17:00.173Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T22:17:00.173Z] 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.
[2026-02-19T22:17:00.173Z] The best model improves the baseline by 14.52%.
[2026-02-19T22:17:00.173Z] Top recommended movies for user id 72:
[2026-02-19T22:17:00.173Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T22:17:00.173Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T22:17:00.173Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T22:17:00.173Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T22:17:00.173Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T22:17:00.173Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (9896.057 ms) ======
[2026-02-19T22:17:00.539Z] -----------------------------------
[2026-02-19T22:17:00.539Z] renaissance-movie-lens_0_PASSED
[2026-02-19T22:17:00.539Z] -----------------------------------
[2026-02-19T22:17:00.539Z]
[2026-02-19T22:17:00.539Z] TEST TEARDOWN:
[2026-02-19T22:17:00.539Z] Nothing to be done for teardown.
[2026-02-19T22:17:00.539Z] renaissance-movie-lens_0 Finish Time: Thu Feb 19 17:17:00 2026 Epoch Time (ms): 1771539420213