renaissance-movie-lens_0
[2026-01-17T10:20:25.531Z] Running test renaissance-movie-lens_0 ...
[2026-01-17T10:20:25.531Z] ===============================================
[2026-01-17T10:20:25.531Z] renaissance-movie-lens_0 Start Time: Sat Jan 17 05:20:25 2026 Epoch Time (ms): 1768645225268
[2026-01-17T10:20:25.531Z] variation: NoOptions
[2026-01-17T10:20:25.531Z] JVM_OPTIONS:
[2026-01-17T10:20:25.531Z] { \
[2026-01-17T10:20:25.531Z] echo ""; echo "TEST SETUP:"; \
[2026-01-17T10:20:25.531Z] echo "Nothing to be done for setup."; \
[2026-01-17T10:20:25.531Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17686433938099/renaissance-movie-lens_0"; \
[2026-01-17T10:20:25.531Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17686433938099/renaissance-movie-lens_0"; \
[2026-01-17T10:20:25.531Z] echo ""; echo "TESTING:"; \
[2026-01-17T10:20:25.531Z] "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17686433938099/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-01-17T10:20:25.531Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17686433938099/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-01-17T10:20:25.531Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-01-17T10:20:25.531Z] echo "Nothing to be done for teardown."; \
[2026-01-17T10:20:25.531Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17686433938099/TestTargetResult";
[2026-01-17T10:20:25.531Z]
[2026-01-17T10:20:25.531Z] TEST SETUP:
[2026-01-17T10:20:25.531Z] Nothing to be done for setup.
[2026-01-17T10:20:25.531Z]
[2026-01-17T10:20:25.531Z] TESTING:
[2026-01-17T10:20:26.521Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-01-17T10:20:26.521Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/output_17686433938099/renaissance-movie-lens_0/launcher-052025-12688103559888149430/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-01-17T10:20:26.521Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-01-17T10:20:26.521Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-01-17T10:20:41.425Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-01-17T10:20:56.115Z] 05:20:54.889 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-01-17T10:20:59.222Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-01-17T10:21:00.806Z] Training: 60056, validation: 20285, test: 19854
[2026-01-17T10:21:00.806Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-01-17T10:21:00.806Z] GC before operation: completed in 212.227 ms, heap usage 256.839 MB -> 74.626 MB.
[2026-01-17T10:21:22.217Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T10:21:29.756Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T10:21:42.052Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T10:21:50.704Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T10:21:56.543Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T10:22:02.540Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T10:22:09.890Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T10:22:14.746Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T10:22:16.415Z] 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.
[2026-01-17T10:22:16.415Z] The best model improves the baseline by 14.52%.
[2026-01-17T10:22:16.832Z] Top recommended movies for user id 72:
[2026-01-17T10:22:16.832Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T10:22:16.832Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T10:22:16.832Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T10:22:16.832Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T10:22:16.832Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T10:22:16.832Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (76007.290 ms) ======
[2026-01-17T10:22:16.832Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-01-17T10:22:17.275Z] GC before operation: completed in 297.249 ms, heap usage 140.374 MB -> 85.137 MB.
[2026-01-17T10:22:28.125Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T10:22:38.435Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T10:22:48.508Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T10:22:57.225Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T10:23:01.170Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T10:23:06.003Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T10:23:13.130Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T10:23:16.609Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T10:23:17.698Z] 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.
[2026-01-17T10:23:17.698Z] The best model improves the baseline by 14.52%.
[2026-01-17T10:23:17.698Z] Top recommended movies for user id 72:
[2026-01-17T10:23:17.698Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T10:23:17.698Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T10:23:17.698Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T10:23:17.698Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T10:23:17.698Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T10:23:17.698Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (60724.522 ms) ======
[2026-01-17T10:23:17.698Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-01-17T10:23:18.126Z] GC before operation: completed in 177.164 ms, heap usage 162.607 MB -> 87.411 MB.
[2026-01-17T10:23:26.390Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T10:23:33.287Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T10:23:41.631Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T10:23:47.365Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T10:23:52.083Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T10:23:56.762Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T10:24:01.428Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T10:24:06.304Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T10:24:06.304Z] 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.
[2026-01-17T10:24:06.304Z] The best model improves the baseline by 14.52%.
[2026-01-17T10:24:06.725Z] Top recommended movies for user id 72:
[2026-01-17T10:24:06.725Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T10:24:06.725Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T10:24:06.725Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T10:24:06.725Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T10:24:06.725Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T10:24:06.725Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (48803.018 ms) ======
[2026-01-17T10:24:06.725Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-01-17T10:24:07.258Z] GC before operation: completed in 200.676 ms, heap usage 206.461 MB -> 88.174 MB.
[2026-01-17T10:24:15.766Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T10:24:22.922Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T10:24:30.151Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T10:24:38.881Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T10:24:43.692Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T10:24:48.610Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T10:24:53.351Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T10:24:56.879Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T10:24:57.917Z] 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.
[2026-01-17T10:24:57.917Z] The best model improves the baseline by 14.52%.
[2026-01-17T10:24:58.927Z] Top recommended movies for user id 72:
[2026-01-17T10:24:58.927Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T10:24:58.927Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T10:24:58.927Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T10:24:58.927Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T10:24:58.927Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T10:24:58.927Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (51777.148 ms) ======
[2026-01-17T10:24:58.927Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-01-17T10:24:58.927Z] GC before operation: completed in 239.596 ms, heap usage 169.192 MB -> 88.336 MB.
[2026-01-17T10:25:09.217Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T10:25:16.250Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T10:25:24.659Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T10:25:31.179Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T10:25:35.043Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T10:25:39.558Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T10:25:44.487Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T10:25:47.474Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T10:25:48.500Z] 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.
[2026-01-17T10:25:48.500Z] The best model improves the baseline by 14.52%.
[2026-01-17T10:25:48.500Z] Top recommended movies for user id 72:
[2026-01-17T10:25:48.500Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T10:25:48.500Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T10:25:48.500Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T10:25:48.500Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T10:25:48.500Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T10:25:48.500Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (49691.754 ms) ======
[2026-01-17T10:25:48.500Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-01-17T10:25:48.925Z] GC before operation: completed in 313.902 ms, heap usage 1.483 GB -> 94.320 MB.
[2026-01-17T10:25:59.030Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T10:26:07.505Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T10:26:14.511Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T10:26:22.970Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T10:26:25.824Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T10:26:31.563Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T10:26:36.498Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T10:26:41.404Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T10:26:42.388Z] 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.
[2026-01-17T10:26:42.388Z] The best model improves the baseline by 14.52%.
[2026-01-17T10:26:42.388Z] Top recommended movies for user id 72:
[2026-01-17T10:26:42.388Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T10:26:42.388Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T10:26:42.388Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T10:26:42.388Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T10:26:42.388Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T10:26:42.388Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (53498.104 ms) ======
[2026-01-17T10:26:42.388Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-01-17T10:26:42.816Z] GC before operation: completed in 252.091 ms, heap usage 1.040 GB -> 93.851 MB.
[2026-01-17T10:26:53.535Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T10:27:02.227Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T10:27:14.541Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T10:27:24.888Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T10:27:29.483Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T10:27:34.280Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T10:27:39.944Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T10:27:43.504Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T10:27:44.569Z] 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.
[2026-01-17T10:27:44.569Z] The best model improves the baseline by 14.52%.
[2026-01-17T10:27:45.042Z] Top recommended movies for user id 72:
[2026-01-17T10:27:45.042Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T10:27:45.042Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T10:27:45.042Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T10:27:45.042Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T10:27:45.042Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T10:27:45.042Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (62167.882 ms) ======
[2026-01-17T10:27:45.042Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-01-17T10:27:45.042Z] GC before operation: completed in 215.362 ms, heap usage 354.518 MB -> 88.879 MB.
[2026-01-17T10:27:53.603Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T10:28:04.022Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T10:28:12.830Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T10:28:23.525Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T10:28:28.080Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T10:28:33.873Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T10:28:37.658Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T10:28:43.640Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T10:28:44.094Z] 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.
[2026-01-17T10:28:44.094Z] The best model improves the baseline by 14.52%.
[2026-01-17T10:28:44.576Z] Top recommended movies for user id 72:
[2026-01-17T10:28:44.576Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T10:28:44.576Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T10:28:44.576Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T10:28:44.576Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T10:28:44.576Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T10:28:44.576Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (59428.571 ms) ======
[2026-01-17T10:28:44.576Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-01-17T10:28:45.069Z] GC before operation: completed in 321.069 ms, heap usage 156.626 MB -> 88.831 MB.
[2026-01-17T10:28:55.664Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T10:29:03.134Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T10:29:12.019Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T10:29:19.268Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T10:29:25.070Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T10:29:30.880Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T10:29:35.699Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T10:29:41.781Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T10:29:42.283Z] 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.
[2026-01-17T10:29:42.283Z] The best model improves the baseline by 14.52%.
[2026-01-17T10:29:42.732Z] Top recommended movies for user id 72:
[2026-01-17T10:29:42.732Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T10:29:42.732Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T10:29:42.732Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T10:29:42.732Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T10:29:42.732Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T10:29:42.732Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (57873.779 ms) ======
[2026-01-17T10:29:42.732Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-01-17T10:29:43.146Z] GC before operation: completed in 178.612 ms, heap usage 352.039 MB -> 88.953 MB.
[2026-01-17T10:29:53.638Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T10:30:02.721Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T10:30:11.741Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T10:30:22.078Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T10:30:27.006Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T10:30:31.626Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T10:30:37.388Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T10:30:43.326Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T10:30:43.748Z] 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.
[2026-01-17T10:30:43.748Z] The best model improves the baseline by 14.52%.
[2026-01-17T10:30:44.171Z] Top recommended movies for user id 72:
[2026-01-17T10:30:44.171Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T10:30:44.171Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T10:30:44.171Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T10:30:44.171Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T10:30:44.171Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T10:30:44.171Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (61323.923 ms) ======
[2026-01-17T10:30:44.171Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-01-17T10:30:44.603Z] GC before operation: completed in 177.083 ms, heap usage 215.107 MB -> 89.800 MB.
[2026-01-17T10:30:55.022Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T10:31:05.309Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T10:31:11.247Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T10:31:18.168Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T10:31:22.799Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T10:31:27.395Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T10:31:31.054Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T10:31:35.765Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T10:31:36.150Z] 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.
[2026-01-17T10:31:36.150Z] The best model improves the baseline by 14.52%.
[2026-01-17T10:31:36.567Z] Top recommended movies for user id 72:
[2026-01-17T10:31:36.567Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T10:31:36.567Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T10:31:36.567Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T10:31:36.567Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T10:31:36.567Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T10:31:36.567Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (51908.509 ms) ======
[2026-01-17T10:31:36.567Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-01-17T10:31:36.567Z] GC before operation: completed in 296.641 ms, heap usage 1.879 GB -> 95.044 MB.
[2026-01-17T10:31:49.311Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T10:31:57.879Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T10:32:07.121Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T10:32:14.473Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T10:32:19.337Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T10:32:24.226Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T10:32:28.160Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T10:32:32.833Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T10:32:33.283Z] 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.
[2026-01-17T10:32:33.283Z] The best model improves the baseline by 14.52%.
[2026-01-17T10:32:33.665Z] Top recommended movies for user id 72:
[2026-01-17T10:32:33.665Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T10:32:33.665Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T10:32:33.665Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T10:32:33.665Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T10:32:33.665Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T10:32:33.665Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (56852.904 ms) ======
[2026-01-17T10:32:33.665Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-01-17T10:32:33.665Z] GC before operation: completed in 224.787 ms, heap usage 975.268 MB -> 93.810 MB.
[2026-01-17T10:32:44.018Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T10:32:52.787Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T10:33:01.434Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T10:33:09.956Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T10:33:14.507Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T10:33:20.136Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T10:33:26.020Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T10:33:29.886Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T10:33:30.933Z] 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.
[2026-01-17T10:33:30.933Z] The best model improves the baseline by 14.52%.
[2026-01-17T10:33:30.933Z] Top recommended movies for user id 72:
[2026-01-17T10:33:30.933Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T10:33:30.933Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T10:33:30.933Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T10:33:30.933Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T10:33:30.933Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T10:33:30.933Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (57332.539 ms) ======
[2026-01-17T10:33:30.933Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-01-17T10:33:31.412Z] GC before operation: completed in 250.695 ms, heap usage 1.110 GB -> 94.370 MB.
[2026-01-17T10:33:40.295Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T10:33:50.790Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T10:34:01.205Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T10:34:10.069Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T10:34:14.901Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T10:34:19.745Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T10:34:24.549Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T10:34:29.141Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T10:34:29.141Z] 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.
[2026-01-17T10:34:29.141Z] The best model improves the baseline by 14.52%.
[2026-01-17T10:34:29.141Z] Top recommended movies for user id 72:
[2026-01-17T10:34:29.141Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T10:34:29.141Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T10:34:29.141Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T10:34:29.141Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T10:34:29.141Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T10:34:29.142Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (57673.595 ms) ======
[2026-01-17T10:34:29.142Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-01-17T10:34:29.581Z] GC before operation: completed in 721.417 ms, heap usage 1.025 GB -> 93.881 MB.
[2026-01-17T10:34:39.980Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T10:34:45.733Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T10:34:54.067Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T10:34:59.899Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T10:35:04.636Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T10:35:08.423Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T10:35:13.317Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T10:35:17.947Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T10:35:18.485Z] 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.
[2026-01-17T10:35:18.918Z] The best model improves the baseline by 14.52%.
[2026-01-17T10:35:19.335Z] Top recommended movies for user id 72:
[2026-01-17T10:35:19.335Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T10:35:19.335Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T10:35:19.335Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T10:35:19.335Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T10:35:19.335Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T10:35:19.335Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (49522.236 ms) ======
[2026-01-17T10:35:19.335Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-01-17T10:35:19.335Z] GC before operation: completed in 246.996 ms, heap usage 924.712 MB -> 94.029 MB.
[2026-01-17T10:35:27.891Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T10:35:38.373Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T10:35:44.026Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T10:35:52.534Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T10:35:56.281Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T10:36:01.191Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T10:36:06.083Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T10:36:12.079Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T10:36:12.079Z] 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.
[2026-01-17T10:36:12.079Z] The best model improves the baseline by 14.52%.
[2026-01-17T10:36:12.531Z] Top recommended movies for user id 72:
[2026-01-17T10:36:12.531Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T10:36:12.531Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T10:36:12.531Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T10:36:12.531Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T10:36:12.531Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T10:36:12.531Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (52936.551 ms) ======
[2026-01-17T10:36:12.531Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-01-17T10:36:12.531Z] GC before operation: completed in 197.473 ms, heap usage 117.629 MB -> 94.592 MB.
[2026-01-17T10:36:25.203Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T10:36:32.768Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T10:36:39.816Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T10:36:48.584Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T10:36:52.119Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T10:36:56.657Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T10:37:01.485Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T10:37:05.054Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T10:37:05.467Z] 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.
[2026-01-17T10:37:05.467Z] The best model improves the baseline by 14.52%.
[2026-01-17T10:37:05.467Z] Top recommended movies for user id 72:
[2026-01-17T10:37:05.467Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T10:37:05.467Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T10:37:05.467Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T10:37:05.467Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T10:37:05.467Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T10:37:05.467Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (52925.452 ms) ======
[2026-01-17T10:37:05.467Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-01-17T10:37:06.001Z] GC before operation: completed in 392.704 ms, heap usage 309.805 MB -> 89.124 MB.
[2026-01-17T10:37:14.453Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T10:37:22.845Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T10:37:30.116Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T10:37:37.137Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T10:37:41.904Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T10:37:45.761Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T10:37:50.641Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T10:37:55.334Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T10:37:55.747Z] 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.
[2026-01-17T10:37:55.747Z] The best model improves the baseline by 14.52%.
[2026-01-17T10:37:56.136Z] Top recommended movies for user id 72:
[2026-01-17T10:37:56.136Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T10:37:56.136Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T10:37:56.136Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T10:37:56.136Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T10:37:56.136Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T10:37:56.136Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (50036.965 ms) ======
[2026-01-17T10:37:56.136Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-01-17T10:37:56.136Z] GC before operation: completed in 211.808 ms, heap usage 171.123 MB -> 88.879 MB.
[2026-01-17T10:38:04.307Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T10:38:09.974Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T10:38:18.482Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T10:38:25.322Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T10:38:28.904Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T10:38:34.704Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T10:38:40.487Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T10:38:45.259Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T10:38:45.733Z] 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.
[2026-01-17T10:38:45.733Z] The best model improves the baseline by 14.52%.
[2026-01-17T10:38:46.259Z] Top recommended movies for user id 72:
[2026-01-17T10:38:46.259Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T10:38:46.259Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T10:38:46.259Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T10:38:46.259Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T10:38:46.259Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T10:38:46.259Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (49723.796 ms) ======
[2026-01-17T10:38:46.259Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-01-17T10:38:46.771Z] GC before operation: completed in 571.415 ms, heap usage 212.573 MB -> 91.059 MB.
[2026-01-17T10:38:57.176Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T10:39:07.334Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T10:39:16.202Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T10:39:25.125Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T10:39:30.047Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T10:39:34.937Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T10:39:39.588Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T10:39:44.304Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T10:39:44.304Z] 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.
[2026-01-17T10:39:44.304Z] The best model improves the baseline by 14.52%.
[2026-01-17T10:39:44.304Z] Top recommended movies for user id 72:
[2026-01-17T10:39:44.304Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T10:39:44.304Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T10:39:44.304Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T10:39:44.304Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T10:39:44.304Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T10:39:44.304Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (57966.270 ms) ======
[2026-01-17T10:39:47.974Z] -----------------------------------
[2026-01-17T10:39:47.974Z] renaissance-movie-lens_0_PASSED
[2026-01-17T10:39:47.974Z] -----------------------------------
[2026-01-17T10:39:48.536Z]
[2026-01-17T10:39:48.536Z] TEST TEARDOWN:
[2026-01-17T10:39:48.536Z] Nothing to be done for teardown.
[2026-01-17T10:39:49.392Z] renaissance-movie-lens_0 Finish Time: Sat Jan 17 05:39:48 2026 Epoch Time (ms): 1768646388959