renaissance-movie-lens_0
[2026-01-19T14:51:03.256Z] Running test renaissance-movie-lens_0 ...
[2026-01-19T14:51:03.256Z] ===============================================
[2026-01-19T14:51:03.256Z] renaissance-movie-lens_0 Start Time: Mon Jan 19 09:51:02 2026 Epoch Time (ms): 1768834262758
[2026-01-19T14:51:03.256Z] variation: NoOptions
[2026-01-19T14:51:03.256Z] JVM_OPTIONS:
[2026-01-19T14:51:03.256Z] { \
[2026-01-19T14:51:03.256Z] echo ""; echo "TEST SETUP:"; \
[2026-01-19T14:51:03.256Z] echo "Nothing to be done for setup."; \
[2026-01-19T14:51:03.256Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17688338145745/renaissance-movie-lens_0"; \
[2026-01-19T14:51:03.256Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17688338145745/renaissance-movie-lens_0"; \
[2026-01-19T14:51:03.256Z] echo ""; echo "TESTING:"; \
[2026-01-19T14:51:03.256Z] "/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_17688338145745/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-01-19T14:51:03.256Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17688338145745/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-01-19T14:51:03.256Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-01-19T14:51:03.256Z] echo "Nothing to be done for teardown."; \
[2026-01-19T14:51:03.256Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17688338145745/TestTargetResult";
[2026-01-19T14:51:03.256Z]
[2026-01-19T14:51:03.256Z] TEST SETUP:
[2026-01-19T14:51:03.256Z] Nothing to be done for setup.
[2026-01-19T14:51:03.256Z]
[2026-01-19T14:51:03.256Z] TESTING:
[2026-01-19T14:51:03.256Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-01-19T14:51:03.256Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/output_17688338145745/renaissance-movie-lens_0/launcher-095102-10140308201689530185/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-01-19T14:51:03.256Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-01-19T14:51:03.256Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-01-19T14:51:05.645Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-01-19T14:51:08.746Z] 09:51:08.449 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.
[2026-01-19T14:51:09.544Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-01-19T14:51:09.900Z] Training: 60056, validation: 20285, test: 19854
[2026-01-19T14:51:09.900Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-01-19T14:51:09.900Z] GC before operation: completed in 62.157 ms, heap usage 265.153 MB -> 75.953 MB.
[2026-01-19T14:51:13.040Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-19T14:51:14.842Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-19T14:51:16.618Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-19T14:51:18.402Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-19T14:51:19.643Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-19T14:51:20.417Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-19T14:51:21.644Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-19T14:51:22.433Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-19T14:51:22.786Z] 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.
[2026-01-19T14:51:22.786Z] The best model improves the baseline by 14.52%.
[2026-01-19T14:51:22.786Z] Top recommended movies for user id 72:
[2026-01-19T14:51:22.786Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-19T14:51:22.786Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-19T14:51:22.786Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-19T14:51:22.786Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-19T14:51:22.786Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-19T14:51:22.786Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (12944.079 ms) ======
[2026-01-19T14:51:22.786Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-01-19T14:51:22.786Z] GC before operation: completed in 70.949 ms, heap usage 130.014 MB -> 86.531 MB.
[2026-01-19T14:51:24.558Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-19T14:51:26.362Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-19T14:51:28.125Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-19T14:51:29.882Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-19T14:51:30.645Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-19T14:51:31.872Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-19T14:51:33.113Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-19T14:51:33.906Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-19T14:51:33.906Z] 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.
[2026-01-19T14:51:33.906Z] The best model improves the baseline by 14.52%.
[2026-01-19T14:51:34.281Z] Top recommended movies for user id 72:
[2026-01-19T14:51:34.281Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-19T14:51:34.281Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-19T14:51:34.281Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-19T14:51:34.282Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-19T14:51:34.282Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-19T14:51:34.282Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (11267.706 ms) ======
[2026-01-19T14:51:34.282Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-01-19T14:51:34.282Z] GC before operation: completed in 47.905 ms, heap usage 428.342 MB -> 89.037 MB.
[2026-01-19T14:51:35.547Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-19T14:51:36.797Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-19T14:51:38.592Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-19T14:51:39.819Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-19T14:51:41.061Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-19T14:51:41.817Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-19T14:51:43.278Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-19T14:51:44.262Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-19T14:51:44.262Z] 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.
[2026-01-19T14:51:44.262Z] The best model improves the baseline by 14.52%.
[2026-01-19T14:51:44.262Z] Top recommended movies for user id 72:
[2026-01-19T14:51:44.262Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-19T14:51:44.262Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-19T14:51:44.262Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-19T14:51:44.262Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-19T14:51:44.262Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-19T14:51:44.262Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (10043.318 ms) ======
[2026-01-19T14:51:44.262Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-01-19T14:51:44.262Z] GC before operation: completed in 75.727 ms, heap usage 381.764 MB -> 89.801 MB.
[2026-01-19T14:51:46.116Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-19T14:51:47.706Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-19T14:51:49.052Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-19T14:51:50.624Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-19T14:51:51.545Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-19T14:51:52.624Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-19T14:51:54.014Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-19T14:51:54.392Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-19T14:51:54.772Z] 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.
[2026-01-19T14:51:54.772Z] The best model improves the baseline by 14.52%.
[2026-01-19T14:51:54.772Z] Top recommended movies for user id 72:
[2026-01-19T14:51:54.772Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-19T14:51:54.772Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-19T14:51:54.772Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-19T14:51:54.772Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-19T14:51:54.772Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-19T14:51:54.772Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (10432.054 ms) ======
[2026-01-19T14:51:54.772Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-01-19T14:51:54.772Z] GC before operation: completed in 64.148 ms, heap usage 628.532 MB -> 93.549 MB.
[2026-01-19T14:51:56.592Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-19T14:51:58.390Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-19T14:51:59.641Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-19T14:52:00.893Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-19T14:52:02.156Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-19T14:52:03.423Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-19T14:52:04.199Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-19T14:52:05.440Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-19T14:52:05.440Z] 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.
[2026-01-19T14:52:05.440Z] The best model improves the baseline by 14.52%.
[2026-01-19T14:52:05.440Z] Top recommended movies for user id 72:
[2026-01-19T14:52:05.440Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-19T14:52:05.440Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-19T14:52:05.440Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-19T14:52:05.440Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-19T14:52:05.440Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-19T14:52:05.440Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (10777.923 ms) ======
[2026-01-19T14:52:05.440Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-01-19T14:52:05.793Z] GC before operation: completed in 61.775 ms, heap usage 378.410 MB -> 90.094 MB.
[2026-01-19T14:52:07.048Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-19T14:52:08.848Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-19T14:52:10.674Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-19T14:52:11.892Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-19T14:52:12.651Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-19T14:52:13.872Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-19T14:52:14.645Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-19T14:52:15.432Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-19T14:52:15.785Z] 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.
[2026-01-19T14:52:15.785Z] The best model improves the baseline by 14.52%.
[2026-01-19T14:52:15.785Z] Top recommended movies for user id 72:
[2026-01-19T14:52:15.785Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-19T14:52:15.785Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-19T14:52:15.785Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-19T14:52:15.785Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-19T14:52:15.785Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-19T14:52:15.785Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (10245.442 ms) ======
[2026-01-19T14:52:15.785Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-01-19T14:52:15.785Z] GC before operation: completed in 70.133 ms, heap usage 418.399 MB -> 90.366 MB.
[2026-01-19T14:52:17.555Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-19T14:52:19.457Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-19T14:52:20.713Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-19T14:52:22.493Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-19T14:52:23.722Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-19T14:52:24.673Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-19T14:52:25.927Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-19T14:52:26.745Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-19T14:52:27.124Z] 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.
[2026-01-19T14:52:27.124Z] The best model improves the baseline by 14.52%.
[2026-01-19T14:52:27.124Z] Top recommended movies for user id 72:
[2026-01-19T14:52:27.124Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-19T14:52:27.124Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-19T14:52:27.124Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-19T14:52:27.124Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-19T14:52:27.124Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-19T14:52:27.124Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (11203.211 ms) ======
[2026-01-19T14:52:27.124Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-01-19T14:52:27.124Z] GC before operation: completed in 55.410 ms, heap usage 179.776 MB -> 90.074 MB.
[2026-01-19T14:52:28.904Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-19T14:52:30.692Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-19T14:52:32.491Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-19T14:52:33.761Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-19T14:52:35.015Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-19T14:52:35.779Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-19T14:52:37.029Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-19T14:52:37.807Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-19T14:52:38.176Z] 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.
[2026-01-19T14:52:38.176Z] The best model improves the baseline by 14.52%.
[2026-01-19T14:52:38.176Z] Top recommended movies for user id 72:
[2026-01-19T14:52:38.176Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-19T14:52:38.176Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-19T14:52:38.176Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-19T14:52:38.176Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-19T14:52:38.176Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-19T14:52:38.176Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (10945.479 ms) ======
[2026-01-19T14:52:38.176Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-01-19T14:52:38.176Z] GC before operation: completed in 64.075 ms, heap usage 216.676 MB -> 91.942 MB.
[2026-01-19T14:52:39.951Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-19T14:52:41.747Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-19T14:52:43.026Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-19T14:52:44.820Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-19T14:52:46.092Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-19T14:52:46.856Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-19T14:52:47.651Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-19T14:52:48.932Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-19T14:52:48.932Z] 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.
[2026-01-19T14:52:48.932Z] The best model improves the baseline by 14.52%.
[2026-01-19T14:52:48.932Z] Top recommended movies for user id 72:
[2026-01-19T14:52:48.932Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-19T14:52:48.932Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-19T14:52:48.932Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-19T14:52:48.932Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-19T14:52:48.932Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-19T14:52:48.932Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (10791.394 ms) ======
[2026-01-19T14:52:48.932Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-01-19T14:52:48.932Z] GC before operation: completed in 68.434 ms, heap usage 217.234 MB -> 90.073 MB.
[2026-01-19T14:52:50.710Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-19T14:52:52.512Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-19T14:52:53.766Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-19T14:52:54.994Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-19T14:52:56.268Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-19T14:52:57.050Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-19T14:52:57.820Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-19T14:52:59.065Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-19T14:52:59.065Z] 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.
[2026-01-19T14:52:59.065Z] The best model improves the baseline by 14.52%.
[2026-01-19T14:52:59.065Z] Top recommended movies for user id 72:
[2026-01-19T14:52:59.065Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-19T14:52:59.065Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-19T14:52:59.065Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-19T14:52:59.065Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-19T14:52:59.065Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-19T14:52:59.065Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (10129.980 ms) ======
[2026-01-19T14:52:59.065Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-01-19T14:52:59.418Z] GC before operation: completed in 77.221 ms, heap usage 158.731 MB -> 90.212 MB.
[2026-01-19T14:53:00.676Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-19T14:53:02.474Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-19T14:53:03.754Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-19T14:53:05.522Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-19T14:53:06.286Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-19T14:53:07.071Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-19T14:53:08.297Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-19T14:53:09.094Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-19T14:53:09.458Z] 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.
[2026-01-19T14:53:09.458Z] The best model improves the baseline by 14.52%.
[2026-01-19T14:53:09.458Z] Top recommended movies for user id 72:
[2026-01-19T14:53:09.458Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-19T14:53:09.458Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-19T14:53:09.458Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-19T14:53:09.458Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-19T14:53:09.458Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-19T14:53:09.458Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (10234.562 ms) ======
[2026-01-19T14:53:09.458Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-01-19T14:53:09.458Z] GC before operation: completed in 69.981 ms, heap usage 303.083 MB -> 90.233 MB.
[2026-01-19T14:53:11.240Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-19T14:53:13.012Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-19T14:53:14.780Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-19T14:53:16.004Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-19T14:53:16.783Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-19T14:53:18.035Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-19T14:53:19.270Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-19T14:53:20.069Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-19T14:53:20.485Z] 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.
[2026-01-19T14:53:20.485Z] The best model improves the baseline by 14.52%.
[2026-01-19T14:53:20.485Z] Top recommended movies for user id 72:
[2026-01-19T14:53:20.485Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-19T14:53:20.485Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-19T14:53:20.485Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-19T14:53:20.485Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-19T14:53:20.485Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-19T14:53:20.486Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (10810.978 ms) ======
[2026-01-19T14:53:20.486Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-01-19T14:53:20.486Z] GC before operation: completed in 80.350 ms, heap usage 401.095 MB -> 90.524 MB.
[2026-01-19T14:53:22.253Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-19T14:53:23.473Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-19T14:53:24.731Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-19T14:53:25.964Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-19T14:53:26.717Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-19T14:53:27.505Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-19T14:53:28.270Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-19T14:53:29.113Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-19T14:53:29.113Z] 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.
[2026-01-19T14:53:29.113Z] The best model improves the baseline by 14.52%.
[2026-01-19T14:53:29.487Z] Top recommended movies for user id 72:
[2026-01-19T14:53:29.487Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-19T14:53:29.487Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-19T14:53:29.487Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-19T14:53:29.487Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-19T14:53:29.487Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-19T14:53:29.487Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (8857.697 ms) ======
[2026-01-19T14:53:29.487Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-01-19T14:53:29.487Z] GC before operation: completed in 69.275 ms, heap usage 291.224 MB -> 90.559 MB.
[2026-01-19T14:53:30.743Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-19T14:53:31.992Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-19T14:53:33.255Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-19T14:53:34.481Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-19T14:53:35.745Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-19T14:53:36.517Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-19T14:53:37.866Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-19T14:53:38.626Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-19T14:53:38.626Z] 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.
[2026-01-19T14:53:38.626Z] The best model improves the baseline by 14.52%.
[2026-01-19T14:53:38.988Z] Top recommended movies for user id 72:
[2026-01-19T14:53:38.988Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-19T14:53:38.988Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-19T14:53:38.988Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-19T14:53:38.988Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-19T14:53:38.988Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-19T14:53:38.988Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (9406.175 ms) ======
[2026-01-19T14:53:38.988Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-01-19T14:53:38.988Z] GC before operation: completed in 67.848 ms, heap usage 166.765 MB -> 92.070 MB.
[2026-01-19T14:53:40.751Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-19T14:53:41.987Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-19T14:53:43.311Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-19T14:53:45.841Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-19T14:53:45.841Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-19T14:53:45.841Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-19T14:53:46.213Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-19T14:53:46.996Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-19T14:53:46.996Z] 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.
[2026-01-19T14:53:46.996Z] The best model improves the baseline by 14.52%.
[2026-01-19T14:53:47.346Z] Top recommended movies for user id 72:
[2026-01-19T14:53:47.346Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-19T14:53:47.346Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-19T14:53:47.346Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-19T14:53:47.346Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-19T14:53:47.346Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-19T14:53:47.346Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (8339.503 ms) ======
[2026-01-19T14:53:47.346Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-01-19T14:53:47.346Z] GC before operation: completed in 52.188 ms, heap usage 362.638 MB -> 90.768 MB.
[2026-01-19T14:53:48.566Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-19T14:53:49.337Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-19T14:53:50.559Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-19T14:53:51.800Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-19T14:53:52.556Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-19T14:53:53.308Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-19T14:53:54.081Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-19T14:53:54.835Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-19T14:53:54.835Z] 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.
[2026-01-19T14:53:54.835Z] The best model improves the baseline by 14.52%.
[2026-01-19T14:53:54.835Z] Top recommended movies for user id 72:
[2026-01-19T14:53:54.835Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-19T14:53:54.835Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-19T14:53:54.835Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-19T14:53:54.835Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-19T14:53:54.835Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-19T14:53:54.835Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (7689.657 ms) ======
[2026-01-19T14:53:54.835Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-01-19T14:53:55.186Z] GC before operation: completed in 49.549 ms, heap usage 132.866 MB -> 92.058 MB.
[2026-01-19T14:53:56.418Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-19T14:53:58.182Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-19T14:53:59.414Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-19T14:54:01.190Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-19T14:54:01.957Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-19T14:54:02.774Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-19T14:54:03.659Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-19T14:54:04.924Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-19T14:54:04.924Z] 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.
[2026-01-19T14:54:04.924Z] The best model improves the baseline by 14.52%.
[2026-01-19T14:54:04.924Z] Top recommended movies for user id 72:
[2026-01-19T14:54:04.924Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-19T14:54:04.924Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-19T14:54:04.924Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-19T14:54:04.924Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-19T14:54:04.924Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-19T14:54:04.924Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (9962.363 ms) ======
[2026-01-19T14:54:04.924Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-01-19T14:54:04.924Z] GC before operation: completed in 68.755 ms, heap usage 363.238 MB -> 90.601 MB.
[2026-01-19T14:54:06.698Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-19T14:54:08.036Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-19T14:54:09.288Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-19T14:54:10.526Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-19T14:54:11.316Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-19T14:54:12.565Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-19T14:54:13.318Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-19T14:54:14.565Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-19T14:54:14.565Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-19T14:54:14.565Z] The best model improves the baseline by 14.52%.
[2026-01-19T14:54:14.565Z] Top recommended movies for user id 72:
[2026-01-19T14:54:14.565Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-19T14:54:14.565Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-19T14:54:14.565Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-19T14:54:14.565Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-19T14:54:14.565Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-19T14:54:14.565Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (9551.495 ms) ======
[2026-01-19T14:54:14.565Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-01-19T14:54:14.565Z] GC before operation: completed in 53.325 ms, heap usage 388.421 MB -> 90.440 MB.
[2026-01-19T14:54:16.338Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-19T14:54:17.599Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-19T14:54:18.609Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-19T14:54:19.866Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-19T14:54:20.623Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-19T14:54:21.378Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-19T14:54:22.630Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-19T14:54:22.984Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-19T14:54:23.344Z] 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.
[2026-01-19T14:54:23.344Z] The best model improves the baseline by 14.52%.
[2026-01-19T14:54:23.344Z] Top recommended movies for user id 72:
[2026-01-19T14:54:23.344Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-19T14:54:23.344Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-19T14:54:23.344Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-19T14:54:23.344Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-19T14:54:23.344Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-19T14:54:23.344Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (8689.124 ms) ======
[2026-01-19T14:54:23.344Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-01-19T14:54:23.344Z] GC before operation: completed in 62.269 ms, heap usage 361.380 MB -> 90.549 MB.
[2026-01-19T14:54:24.575Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-19T14:54:26.344Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-19T14:54:27.563Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-19T14:54:28.782Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-19T14:54:29.534Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-19T14:54:30.286Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-19T14:54:31.047Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-19T14:54:32.271Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-19T14:54:32.271Z] 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.
[2026-01-19T14:54:32.271Z] The best model improves the baseline by 14.52%.
[2026-01-19T14:54:32.271Z] Top recommended movies for user id 72:
[2026-01-19T14:54:32.271Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-19T14:54:32.271Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-19T14:54:32.271Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-19T14:54:32.271Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-19T14:54:32.271Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-19T14:54:32.271Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (8936.083 ms) ======
[2026-01-19T14:54:32.620Z] -----------------------------------
[2026-01-19T14:54:32.620Z] renaissance-movie-lens_0_PASSED
[2026-01-19T14:54:32.620Z] -----------------------------------
[2026-01-19T14:54:32.972Z]
[2026-01-19T14:54:32.972Z] TEST TEARDOWN:
[2026-01-19T14:54:32.972Z] Nothing to be done for teardown.
[2026-01-19T14:54:32.972Z] renaissance-movie-lens_0 Finish Time: Mon Jan 19 09:54:32 2026 Epoch Time (ms): 1768834472567