renaissance-movie-lens_0
[2026-02-06T21:58:52.367Z] Running test renaissance-movie-lens_0 ...
[2026-02-06T21:58:52.367Z] ===============================================
[2026-02-06T21:58:52.367Z] renaissance-movie-lens_0 Start Time: Fri Feb 6 16:58:52 2026 Epoch Time (ms): 1770415132094
[2026-02-06T21:58:52.367Z] variation: NoOptions
[2026-02-06T21:58:52.367Z] JVM_OPTIONS:
[2026-02-06T21:58:52.367Z] { \
[2026-02-06T21:58:52.367Z] echo ""; echo "TEST SETUP:"; \
[2026-02-06T21:58:52.367Z] echo "Nothing to be done for setup."; \
[2026-02-06T21:58:52.367Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17704147457426/renaissance-movie-lens_0"; \
[2026-02-06T21:58:52.367Z] cd "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17704147457426/renaissance-movie-lens_0"; \
[2026-02-06T21:58:52.367Z] echo ""; echo "TESTING:"; \
[2026-02-06T21:58:52.367Z] "/Users/admin/workspace/workspace/Test_openjdk11_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_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17704147457426/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-06T21:58:52.367Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17704147457426/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-06T21:58:52.367Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-06T21:58:52.367Z] echo "Nothing to be done for teardown."; \
[2026-02-06T21:58:52.367Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17704147457426/TestTargetResult";
[2026-02-06T21:58:52.367Z]
[2026-02-06T21:58:52.367Z] TEST SETUP:
[2026-02-06T21:58:52.367Z] Nothing to be done for setup.
[2026-02-06T21:58:52.367Z]
[2026-02-06T21:58:52.367Z] TESTING:
[2026-02-06T21:58:56.367Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-02-06T21:59:00.390Z] 16:58:59.898 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-02-06T21:59:01.307Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-06T21:59:01.681Z] Training: 60056, validation: 20285, test: 19854
[2026-02-06T21:59:01.681Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-06T21:59:01.681Z] GC before operation: completed in 77.813 ms, heap usage 277.074 MB -> 74.604 MB.
[2026-02-06T21:59:05.747Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T21:59:08.230Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T21:59:09.997Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T21:59:12.399Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T21:59:13.169Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T21:59:14.470Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T21:59:16.300Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T21:59:17.604Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T21:59:17.604Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-06T21:59:17.604Z] The best model improves the baseline by 14.52%.
[2026-02-06T21:59:17.604Z] Top recommended movies for user id 72:
[2026-02-06T21:59:17.604Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T21:59:17.604Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T21:59:17.604Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T21:59:17.604Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T21:59:17.604Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T21:59:17.604Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (15922.940 ms) ======
[2026-02-06T21:59:17.604Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-06T21:59:17.961Z] GC before operation: completed in 96.173 ms, heap usage 507.194 MB -> 86.036 MB.
[2026-02-06T21:59:19.768Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T21:59:21.574Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T21:59:23.398Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T21:59:25.196Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T21:59:25.990Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T21:59:26.783Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T21:59:28.026Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T21:59:29.276Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T21:59:29.276Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-06T21:59:29.634Z] The best model improves the baseline by 14.52%.
[2026-02-06T21:59:29.634Z] Top recommended movies for user id 72:
[2026-02-06T21:59:29.634Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T21:59:29.635Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T21:59:29.635Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T21:59:29.635Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T21:59:29.635Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T21:59:29.635Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (11718.293 ms) ======
[2026-02-06T21:59:29.635Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-06T21:59:29.635Z] GC before operation: completed in 83.217 ms, heap usage 394.920 MB -> 87.909 MB.
[2026-02-06T21:59:31.464Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T21:59:33.291Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T21:59:35.781Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T21:59:37.594Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T21:59:38.870Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T21:59:39.638Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T21:59:40.886Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T21:59:41.649Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T21:59:41.649Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-06T21:59:41.649Z] The best model improves the baseline by 14.52%.
[2026-02-06T21:59:42.005Z] Top recommended movies for user id 72:
[2026-02-06T21:59:42.005Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T21:59:42.005Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T21:59:42.005Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T21:59:42.005Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T21:59:42.005Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T21:59:42.005Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (12230.250 ms) ======
[2026-02-06T21:59:42.005Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-06T21:59:42.005Z] GC before operation: completed in 66.988 ms, heap usage 275.237 MB -> 88.441 MB.
[2026-02-06T21:59:43.257Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T21:59:45.039Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T21:59:46.276Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T21:59:47.534Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T21:59:48.774Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T21:59:49.540Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T21:59:50.323Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T21:59:51.090Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T21:59:51.090Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-06T21:59:51.090Z] The best model improves the baseline by 14.52%.
[2026-02-06T21:59:51.090Z] Top recommended movies for user id 72:
[2026-02-06T21:59:51.090Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T21:59:51.090Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T21:59:51.090Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T21:59:51.090Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T21:59:51.090Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T21:59:51.090Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (9229.358 ms) ======
[2026-02-06T21:59:51.090Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-06T21:59:51.090Z] GC before operation: completed in 57.648 ms, heap usage 214.346 MB -> 88.611 MB.
[2026-02-06T21:59:52.334Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T21:59:53.581Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T21:59:55.373Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T21:59:56.605Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T21:59:57.382Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T21:59:58.622Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T21:59:59.418Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T22:00:00.685Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T22:00:00.685Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-06T22:00:00.685Z] The best model improves the baseline by 14.52%.
[2026-02-06T22:00:00.685Z] Top recommended movies for user id 72:
[2026-02-06T22:00:00.685Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T22:00:00.685Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T22:00:00.685Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T22:00:00.685Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T22:00:00.685Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T22:00:00.685Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (9515.513 ms) ======
[2026-02-06T22:00:00.685Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-06T22:00:00.685Z] GC before operation: completed in 71.889 ms, heap usage 396.118 MB -> 88.777 MB.
[2026-02-06T22:00:02.527Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T22:00:04.370Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T22:00:06.176Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T22:00:07.971Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T22:00:08.766Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T22:00:10.022Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T22:00:11.283Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T22:00:13.083Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T22:00:13.083Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-06T22:00:13.083Z] The best model improves the baseline by 14.52%.
[2026-02-06T22:00:13.083Z] Top recommended movies for user id 72:
[2026-02-06T22:00:13.083Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T22:00:13.083Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T22:00:13.083Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T22:00:13.083Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T22:00:13.083Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T22:00:13.083Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (12260.764 ms) ======
[2026-02-06T22:00:13.083Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-06T22:00:13.083Z] GC before operation: completed in 109.429 ms, heap usage 161.564 MB -> 88.868 MB.
[2026-02-06T22:00:15.519Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T22:00:17.345Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T22:00:19.805Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T22:00:21.627Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T22:00:22.892Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T22:00:23.658Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T22:00:24.926Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T22:00:26.718Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T22:00:26.718Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-06T22:00:26.718Z] The best model improves the baseline by 14.52%.
[2026-02-06T22:00:26.718Z] Top recommended movies for user id 72:
[2026-02-06T22:00:26.718Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T22:00:26.718Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T22:00:26.718Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T22:00:26.718Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T22:00:26.718Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T22:00:26.718Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (13725.174 ms) ======
[2026-02-06T22:00:26.718Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-06T22:00:27.094Z] GC before operation: completed in 85.913 ms, heap usage 393.136 MB -> 89.102 MB.
[2026-02-06T22:00:28.884Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T22:00:31.322Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T22:00:33.153Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T22:00:34.959Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T22:00:36.226Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T22:00:37.507Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T22:00:38.758Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T22:00:40.018Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T22:00:40.394Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-06T22:00:40.394Z] The best model improves the baseline by 14.52%.
[2026-02-06T22:00:40.394Z] Top recommended movies for user id 72:
[2026-02-06T22:00:40.394Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T22:00:40.394Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T22:00:40.394Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T22:00:40.394Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T22:00:40.394Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T22:00:40.394Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (13391.810 ms) ======
[2026-02-06T22:00:40.394Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-06T22:00:40.394Z] GC before operation: completed in 81.314 ms, heap usage 161.669 MB -> 89.003 MB.
[2026-02-06T22:00:42.847Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T22:00:44.630Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T22:00:46.427Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T22:00:48.234Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T22:00:49.503Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T22:00:50.754Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T22:00:51.568Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T22:00:52.818Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T22:00:52.818Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-06T22:00:52.818Z] The best model improves the baseline by 14.52%.
[2026-02-06T22:00:52.818Z] Top recommended movies for user id 72:
[2026-02-06T22:00:52.818Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T22:00:52.818Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T22:00:52.818Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T22:00:52.818Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T22:00:52.818Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T22:00:52.818Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (12381.284 ms) ======
[2026-02-06T22:00:52.818Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-06T22:00:52.818Z] GC before operation: completed in 89.762 ms, heap usage 221.384 MB -> 88.905 MB.
[2026-02-06T22:00:54.649Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T22:00:57.113Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T22:00:58.908Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T22:01:00.775Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T22:01:01.570Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T22:01:02.361Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T22:01:03.615Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T22:01:04.864Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T22:01:04.864Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-06T22:01:04.864Z] The best model improves the baseline by 14.52%.
[2026-02-06T22:01:04.864Z] Top recommended movies for user id 72:
[2026-02-06T22:01:04.864Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T22:01:04.864Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T22:01:04.864Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T22:01:04.864Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T22:01:04.864Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T22:01:04.864Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (11929.151 ms) ======
[2026-02-06T22:01:04.864Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-06T22:01:04.864Z] GC before operation: completed in 79.345 ms, heap usage 401.786 MB -> 89.355 MB.
[2026-02-06T22:01:06.675Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T22:01:08.449Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T22:01:10.233Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T22:01:12.016Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T22:01:12.815Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T22:01:14.055Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T22:01:14.854Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T22:01:16.089Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T22:01:16.090Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-06T22:01:16.090Z] The best model improves the baseline by 14.52%.
[2026-02-06T22:01:16.090Z] Top recommended movies for user id 72:
[2026-02-06T22:01:16.090Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T22:01:16.090Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T22:01:16.090Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T22:01:16.090Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T22:01:16.090Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T22:01:16.090Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (11244.100 ms) ======
[2026-02-06T22:01:16.090Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-06T22:01:16.090Z] GC before operation: completed in 73.146 ms, heap usage 161.853 MB -> 88.846 MB.
[2026-02-06T22:01:17.857Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T22:01:19.109Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T22:01:20.897Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T22:01:22.135Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T22:01:22.911Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T22:01:23.698Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T22:01:24.463Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T22:01:25.249Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T22:01:25.249Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-06T22:01:25.249Z] The best model improves the baseline by 14.52%.
[2026-02-06T22:01:25.249Z] Top recommended movies for user id 72:
[2026-02-06T22:01:25.249Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T22:01:25.249Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T22:01:25.249Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T22:01:25.249Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T22:01:25.249Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T22:01:25.249Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (9078.254 ms) ======
[2026-02-06T22:01:25.249Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-06T22:01:25.249Z] GC before operation: completed in 58.546 ms, heap usage 311.412 MB -> 89.237 MB.
[2026-02-06T22:01:26.485Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T22:01:27.729Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T22:01:28.983Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T22:01:30.221Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T22:01:31.447Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T22:01:32.223Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T22:01:32.991Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T22:01:33.759Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T22:01:34.119Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-06T22:01:34.119Z] The best model improves the baseline by 14.52%.
[2026-02-06T22:01:34.119Z] Top recommended movies for user id 72:
[2026-02-06T22:01:34.119Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T22:01:34.119Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T22:01:34.119Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T22:01:34.119Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T22:01:34.119Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T22:01:34.119Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (8652.642 ms) ======
[2026-02-06T22:01:34.119Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-06T22:01:34.119Z] GC before operation: completed in 65.108 ms, heap usage 315.429 MB -> 89.327 MB.
[2026-02-06T22:01:35.356Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T22:01:37.148Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T22:01:38.411Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T22:01:39.650Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T22:01:40.428Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T22:01:41.226Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T22:01:42.475Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T22:01:43.253Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T22:01:43.618Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-06T22:01:43.618Z] The best model improves the baseline by 14.52%.
[2026-02-06T22:01:43.618Z] Top recommended movies for user id 72:
[2026-02-06T22:01:43.618Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T22:01:43.618Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T22:01:43.618Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T22:01:43.618Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T22:01:43.618Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T22:01:43.618Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (9593.034 ms) ======
[2026-02-06T22:01:43.618Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-06T22:01:43.618Z] GC before operation: completed in 83.827 ms, heap usage 164.531 MB -> 88.974 MB.
[2026-02-06T22:01:45.479Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T22:01:46.711Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T22:01:48.524Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T22:01:49.758Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T22:01:50.543Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T22:01:51.318Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T22:01:52.549Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T22:01:53.332Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T22:01:53.698Z] 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.
[2026-02-06T22:01:53.698Z] The best model improves the baseline by 14.52%.
[2026-02-06T22:01:53.698Z] Top recommended movies for user id 72:
[2026-02-06T22:01:53.698Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T22:01:53.698Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T22:01:53.698Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T22:01:53.698Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T22:01:53.698Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T22:01:53.698Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (9862.366 ms) ======
[2026-02-06T22:01:53.698Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-06T22:01:53.698Z] GC before operation: completed in 79.583 ms, heap usage 216.983 MB -> 89.209 MB.
[2026-02-06T22:01:55.537Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T22:01:56.767Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T22:01:58.571Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T22:01:59.824Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T22:02:00.609Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T22:02:01.410Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T22:02:02.686Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T22:02:03.493Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T22:02:03.850Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-06T22:02:03.850Z] The best model improves the baseline by 14.52%.
[2026-02-06T22:02:03.850Z] Top recommended movies for user id 72:
[2026-02-06T22:02:03.850Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T22:02:03.850Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T22:02:03.850Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T22:02:03.850Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T22:02:03.850Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T22:02:03.850Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (10100.915 ms) ======
[2026-02-06T22:02:03.850Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-06T22:02:03.850Z] GC before operation: completed in 86.090 ms, heap usage 206.260 MB -> 89.057 MB.
[2026-02-06T22:02:06.292Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T22:02:07.559Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T22:02:09.993Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T22:02:11.805Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T22:02:12.598Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T22:02:13.832Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T22:02:15.099Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T22:02:16.915Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T22:02:16.915Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-06T22:02:16.915Z] The best model improves the baseline by 14.52%.
[2026-02-06T22:02:16.915Z] Top recommended movies for user id 72:
[2026-02-06T22:02:16.915Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T22:02:16.915Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T22:02:16.915Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T22:02:16.915Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T22:02:16.915Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T22:02:16.915Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (12913.523 ms) ======
[2026-02-06T22:02:16.915Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-06T22:02:16.915Z] GC before operation: completed in 88.914 ms, heap usage 268.545 MB -> 89.268 MB.
[2026-02-06T22:02:18.723Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T22:02:20.528Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T22:02:22.319Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T22:02:24.759Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T22:02:26.041Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T22:02:27.313Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T22:02:28.552Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T22:02:29.825Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T22:02:29.825Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-06T22:02:29.825Z] The best model improves the baseline by 14.52%.
[2026-02-06T22:02:29.825Z] Top recommended movies for user id 72:
[2026-02-06T22:02:29.825Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T22:02:29.825Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T22:02:29.825Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T22:02:29.825Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T22:02:29.825Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T22:02:29.825Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (13021.448 ms) ======
[2026-02-06T22:02:29.825Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-06T22:02:30.181Z] GC before operation: completed in 97.576 ms, heap usage 128.289 MB -> 88.832 MB.
[2026-02-06T22:02:32.009Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T22:02:33.821Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T22:02:36.237Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T22:02:37.484Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T22:02:38.732Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T22:02:39.970Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T22:02:41.219Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T22:02:42.481Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T22:02:42.858Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-06T22:02:42.858Z] The best model improves the baseline by 14.52%.
[2026-02-06T22:02:42.858Z] Top recommended movies for user id 72:
[2026-02-06T22:02:42.858Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T22:02:42.858Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T22:02:42.858Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T22:02:42.858Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T22:02:42.858Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T22:02:42.858Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (12971.858 ms) ======
[2026-02-06T22:02:42.858Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-06T22:02:43.226Z] GC before operation: completed in 87.541 ms, heap usage 466.570 MB -> 89.414 MB.
[2026-02-06T22:02:44.545Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T22:02:46.330Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T22:02:48.746Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T22:02:49.982Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T22:02:51.233Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T22:02:52.008Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T22:02:53.245Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T22:02:54.672Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T22:02:54.672Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-06T22:02:54.672Z] The best model improves the baseline by 14.52%.
[2026-02-06T22:02:54.672Z] Top recommended movies for user id 72:
[2026-02-06T22:02:54.672Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T22:02:54.672Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T22:02:54.672Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T22:02:54.672Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T22:02:54.672Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T22:02:54.672Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (11525.703 ms) ======
[2026-02-06T22:02:55.029Z] -----------------------------------
[2026-02-06T22:02:55.029Z] renaissance-movie-lens_0_PASSED
[2026-02-06T22:02:55.029Z] -----------------------------------
[2026-02-06T22:02:55.029Z]
[2026-02-06T22:02:55.029Z] TEST TEARDOWN:
[2026-02-06T22:02:55.029Z] Nothing to be done for teardown.
[2026-02-06T22:02:55.029Z] renaissance-movie-lens_0 Finish Time: Fri Feb 6 17:02:54 2026 Epoch Time (ms): 1770415374872