renaissance-movie-lens_0
[2026-02-25T22:28:05.130Z] Running test renaissance-movie-lens_0 ...
[2026-02-25T22:28:05.130Z] ===============================================
[2026-02-25T22:28:05.130Z] renaissance-movie-lens_0 Start Time: Wed Feb 25 22:28:05 2026 Epoch Time (ms): 1772058485007
[2026-02-25T22:28:05.130Z] variation: NoOptions
[2026-02-25T22:28:05.130Z] JVM_OPTIONS:
[2026-02-25T22:28:05.130Z] { \
[2026-02-25T22:28:05.130Z] echo ""; echo "TEST SETUP:"; \
[2026-02-25T22:28:05.130Z] echo "Nothing to be done for setup."; \
[2026-02-25T22:28:05.130Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_1772057657945/renaissance-movie-lens_0"; \
[2026-02-25T22:28:05.130Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_1772057657945/renaissance-movie-lens_0"; \
[2026-02-25T22:28:05.130Z] echo ""; echo "TESTING:"; \
[2026-02-25T22:28:05.130Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/jdkbinary/j2sdk-image/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 "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_1772057657945/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-25T22:28:05.130Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_1772057657945/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-25T22:28:05.130Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-25T22:28:05.130Z] echo "Nothing to be done for teardown."; \
[2026-02-25T22:28:05.130Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_1772057657945/TestTargetResult";
[2026-02-25T22:28:05.130Z]
[2026-02-25T22:28:05.130Z] TEST SETUP:
[2026-02-25T22:28:05.130Z] Nothing to be done for setup.
[2026-02-25T22:28:05.130Z]
[2026-02-25T22:28:05.130Z] TESTING:
[2026-02-25T22:28:10.442Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-02-25T22:28:17.128Z] 22:28:16.656 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-02-25T22:28:19.081Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-25T22:28:20.036Z] Training: 60056, validation: 20285, test: 19854
[2026-02-25T22:28:20.036Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-25T22:28:20.036Z] GC before operation: completed in 148.384 ms, heap usage 353.136 MB -> 75.746 MB.
[2026-02-25T22:28:25.410Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-25T22:28:29.567Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-25T22:28:33.765Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-25T22:28:36.780Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-25T22:28:37.732Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-25T22:28:39.685Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-25T22:28:41.645Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-25T22:28:43.601Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-25T22:28:43.601Z] 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.
[2026-02-25T22:28:43.601Z] The best model improves the baseline by 14.52%.
[2026-02-25T22:28:43.601Z] Top recommended movies for user id 72:
[2026-02-25T22:28:43.601Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-25T22:28:43.601Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-25T22:28:43.601Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-25T22:28:43.601Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-25T22:28:43.601Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-25T22:28:43.601Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (23856.827 ms) ======
[2026-02-25T22:28:43.601Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-25T22:28:44.567Z] GC before operation: completed in 139.672 ms, heap usage 288.558 MB -> 86.432 MB.
[2026-02-25T22:28:47.584Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-25T22:28:50.602Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-25T22:28:53.621Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-25T22:28:56.637Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-25T22:28:57.589Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-25T22:28:59.545Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-25T22:29:01.129Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-25T22:29:02.081Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-25T22:29:03.034Z] 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.
[2026-02-25T22:29:03.034Z] The best model improves the baseline by 14.52%.
[2026-02-25T22:29:03.034Z] Top recommended movies for user id 72:
[2026-02-25T22:29:03.034Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-25T22:29:03.034Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-25T22:29:03.034Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-25T22:29:03.034Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-25T22:29:03.034Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-25T22:29:03.034Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18719.297 ms) ======
[2026-02-25T22:29:03.034Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-25T22:29:03.034Z] GC before operation: completed in 120.066 ms, heap usage 443.951 MB -> 92.704 MB.
[2026-02-25T22:29:05.167Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-25T22:29:08.181Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-25T22:29:10.132Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-25T22:29:12.083Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-25T22:29:14.038Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-25T22:29:14.991Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-25T22:29:16.945Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-25T22:29:17.895Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-25T22:29:17.895Z] 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.
[2026-02-25T22:29:17.895Z] The best model improves the baseline by 14.52%.
[2026-02-25T22:29:17.895Z] Top recommended movies for user id 72:
[2026-02-25T22:29:17.895Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-25T22:29:17.895Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-25T22:29:17.895Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-25T22:29:17.895Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-25T22:29:17.895Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-25T22:29:17.895Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (15393.492 ms) ======
[2026-02-25T22:29:17.895Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-25T22:29:18.846Z] GC before operation: completed in 130.172 ms, heap usage 272.215 MB -> 89.271 MB.
[2026-02-25T22:29:20.974Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-25T22:29:22.927Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-25T22:29:24.922Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-25T22:29:27.933Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-25T22:29:28.885Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-25T22:29:30.840Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-25T22:29:31.795Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-25T22:29:33.758Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-25T22:29:33.758Z] 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.
[2026-02-25T22:29:33.758Z] The best model improves the baseline by 14.52%.
[2026-02-25T22:29:33.758Z] Top recommended movies for user id 72:
[2026-02-25T22:29:33.758Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-25T22:29:33.758Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-25T22:29:33.758Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-25T22:29:33.758Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-25T22:29:33.758Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-25T22:29:33.758Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (15197.155 ms) ======
[2026-02-25T22:29:33.758Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-25T22:29:33.758Z] GC before operation: completed in 177.508 ms, heap usage 380.016 MB -> 92.964 MB.
[2026-02-25T22:29:36.772Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-25T22:29:38.736Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-25T22:29:40.688Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-25T22:29:43.698Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-25T22:29:44.656Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-25T22:29:45.607Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-25T22:29:47.559Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-25T22:29:48.528Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-25T22:29:48.528Z] 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.
[2026-02-25T22:29:48.528Z] The best model improves the baseline by 14.52%.
[2026-02-25T22:29:48.528Z] Top recommended movies for user id 72:
[2026-02-25T22:29:48.528Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-25T22:29:48.528Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-25T22:29:48.528Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-25T22:29:48.528Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-25T22:29:48.528Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-25T22:29:48.528Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (15077.081 ms) ======
[2026-02-25T22:29:48.529Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-25T22:29:49.480Z] GC before operation: completed in 122.656 ms, heap usage 438.093 MB -> 89.696 MB.
[2026-02-25T22:29:51.433Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-25T22:29:53.386Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-25T22:29:56.221Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-25T22:29:58.172Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-25T22:29:59.122Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-25T22:30:01.071Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-25T22:30:02.027Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-25T22:30:02.995Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-25T22:30:02.995Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-25T22:30:02.995Z] The best model improves the baseline by 14.52%.
[2026-02-25T22:30:03.983Z] Top recommended movies for user id 72:
[2026-02-25T22:30:03.983Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-25T22:30:03.983Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-25T22:30:03.983Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-25T22:30:03.983Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-25T22:30:03.983Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-25T22:30:03.983Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (14527.434 ms) ======
[2026-02-25T22:30:03.983Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-25T22:30:03.983Z] GC before operation: completed in 131.365 ms, heap usage 225.031 MB -> 89.770 MB.
[2026-02-25T22:30:05.933Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-25T22:30:07.882Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-25T22:30:09.833Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-25T22:30:12.847Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-25T22:30:13.797Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-25T22:30:15.748Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-25T22:30:16.702Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-25T22:30:18.654Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-25T22:30:18.654Z] 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.
[2026-02-25T22:30:18.654Z] The best model improves the baseline by 14.52%.
[2026-02-25T22:30:18.654Z] Top recommended movies for user id 72:
[2026-02-25T22:30:18.654Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-25T22:30:18.654Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-25T22:30:18.654Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-25T22:30:18.654Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-25T22:30:18.654Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-25T22:30:18.654Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15134.349 ms) ======
[2026-02-25T22:30:18.654Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-25T22:30:18.654Z] GC before operation: completed in 130.610 ms, heap usage 459.584 MB -> 90.000 MB.
[2026-02-25T22:30:21.672Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-25T22:30:26.071Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-25T22:30:26.071Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-25T22:30:28.026Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-25T22:30:29.986Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-25T22:30:30.937Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-25T22:30:31.887Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-25T22:30:33.840Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-25T22:30:33.840Z] 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.
[2026-02-25T22:30:33.840Z] The best model improves the baseline by 14.52%.
[2026-02-25T22:30:33.840Z] Top recommended movies for user id 72:
[2026-02-25T22:30:33.840Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-25T22:30:33.840Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-25T22:30:33.840Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-25T22:30:33.840Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-25T22:30:33.840Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-25T22:30:33.840Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (14848.139 ms) ======
[2026-02-25T22:30:33.840Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-25T22:30:33.840Z] GC before operation: completed in 123.578 ms, heap usage 115.177 MB -> 89.845 MB.
[2026-02-25T22:30:35.794Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-25T22:30:38.811Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-25T22:30:40.765Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-25T22:30:42.717Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-25T22:30:43.669Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-25T22:30:44.622Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-25T22:30:46.575Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-25T22:30:47.526Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-25T22:30:47.526Z] 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.
[2026-02-25T22:30:47.526Z] The best model improves the baseline by 14.52%.
[2026-02-25T22:30:47.526Z] Top recommended movies for user id 72:
[2026-02-25T22:30:47.526Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-25T22:30:47.526Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-25T22:30:47.526Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-25T22:30:47.527Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-25T22:30:47.527Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-25T22:30:47.527Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (13831.748 ms) ======
[2026-02-25T22:30:47.527Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-25T22:30:47.527Z] GC before operation: completed in 150.161 ms, heap usage 225.646 MB -> 89.722 MB.
[2026-02-25T22:30:50.567Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-25T22:30:52.521Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-25T22:30:54.106Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-25T22:30:56.083Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-25T22:30:58.039Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-25T22:30:58.991Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-25T22:30:59.944Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-25T22:31:01.901Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-25T22:31:01.901Z] 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.
[2026-02-25T22:31:01.901Z] The best model improves the baseline by 14.52%.
[2026-02-25T22:31:01.901Z] Top recommended movies for user id 72:
[2026-02-25T22:31:01.901Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-25T22:31:01.901Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-25T22:31:01.901Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-25T22:31:01.901Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-25T22:31:01.901Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-25T22:31:01.901Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (13896.289 ms) ======
[2026-02-25T22:31:01.901Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-25T22:31:01.901Z] GC before operation: completed in 138.859 ms, heap usage 278.162 MB -> 91.959 MB.
[2026-02-25T22:31:03.983Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-25T22:31:05.937Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-25T22:31:08.951Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-25T22:31:10.903Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-25T22:31:11.855Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-25T22:31:13.808Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-25T22:31:14.759Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-25T22:31:16.714Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-25T22:31:16.714Z] 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.
[2026-02-25T22:31:16.714Z] The best model improves the baseline by 14.52%.
[2026-02-25T22:31:16.714Z] Top recommended movies for user id 72:
[2026-02-25T22:31:16.714Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-25T22:31:16.714Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-25T22:31:16.714Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-25T22:31:16.714Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-25T22:31:16.714Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-25T22:31:16.714Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (14778.744 ms) ======
[2026-02-25T22:31:16.714Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-25T22:31:16.714Z] GC before operation: completed in 139.692 ms, heap usage 192.669 MB -> 91.529 MB.
[2026-02-25T22:31:18.679Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-25T22:31:21.697Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-25T22:31:23.651Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-25T22:31:25.610Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-25T22:31:26.562Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-25T22:31:28.517Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-25T22:31:29.485Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-25T22:31:31.437Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-25T22:31:31.437Z] 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.
[2026-02-25T22:31:31.437Z] The best model improves the baseline by 14.52%.
[2026-02-25T22:31:31.437Z] Top recommended movies for user id 72:
[2026-02-25T22:31:31.437Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-25T22:31:31.437Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-25T22:31:31.437Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-25T22:31:31.437Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-25T22:31:31.437Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-25T22:31:31.437Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14487.011 ms) ======
[2026-02-25T22:31:31.437Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-25T22:31:31.437Z] GC before operation: completed in 121.716 ms, heap usage 176.301 MB -> 93.890 MB.
[2026-02-25T22:31:33.391Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-25T22:31:35.358Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-25T22:31:37.310Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-25T22:31:39.268Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-25T22:31:41.224Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-25T22:31:42.176Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-25T22:31:44.131Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-25T22:31:45.085Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-25T22:31:45.085Z] 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.
[2026-02-25T22:31:45.085Z] The best model improves the baseline by 14.52%.
[2026-02-25T22:31:45.085Z] Top recommended movies for user id 72:
[2026-02-25T22:31:45.085Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-25T22:31:45.085Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-25T22:31:45.085Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-25T22:31:45.085Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-25T22:31:45.085Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-25T22:31:45.085Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (13918.422 ms) ======
[2026-02-25T22:31:45.086Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-25T22:31:46.040Z] GC before operation: completed in 155.000 ms, heap usage 755.926 MB -> 94.076 MB.
[2026-02-25T22:31:47.997Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-25T22:31:49.580Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-25T22:31:51.532Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-25T22:31:53.502Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-25T22:31:55.455Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-25T22:31:56.408Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-25T22:31:57.398Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-25T22:31:59.362Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-25T22:31:59.362Z] 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.
[2026-02-25T22:31:59.362Z] The best model improves the baseline by 14.52%.
[2026-02-25T22:31:59.362Z] Top recommended movies for user id 72:
[2026-02-25T22:31:59.362Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-25T22:31:59.362Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-25T22:31:59.362Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-25T22:31:59.362Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-25T22:31:59.362Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-25T22:31:59.362Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (13886.748 ms) ======
[2026-02-25T22:31:59.362Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-25T22:31:59.362Z] GC before operation: completed in 165.104 ms, heap usage 237.342 MB -> 93.267 MB.
[2026-02-25T22:32:01.313Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-25T22:32:04.327Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-25T22:32:06.279Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-25T22:32:08.233Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-25T22:32:09.184Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-25T22:32:10.143Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-25T22:32:12.097Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-25T22:32:13.051Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-25T22:32:13.051Z] 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.
[2026-02-25T22:32:13.051Z] The best model improves the baseline by 14.52%.
[2026-02-25T22:32:13.051Z] Top recommended movies for user id 72:
[2026-02-25T22:32:13.051Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-25T22:32:13.051Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-25T22:32:13.051Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-25T22:32:13.051Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-25T22:32:13.051Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-25T22:32:13.051Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (13815.767 ms) ======
[2026-02-25T22:32:13.051Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-25T22:32:14.002Z] GC before operation: completed in 129.150 ms, heap usage 940.040 MB -> 96.071 MB.
[2026-02-25T22:32:15.956Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-25T22:32:17.909Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-25T22:32:20.943Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-25T22:32:22.899Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-25T22:32:23.848Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-25T22:32:24.801Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-25T22:32:26.798Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-25T22:32:27.748Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-25T22:32:27.748Z] 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.
[2026-02-25T22:32:27.748Z] The best model improves the baseline by 14.52%.
[2026-02-25T22:32:28.697Z] Top recommended movies for user id 72:
[2026-02-25T22:32:28.697Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-25T22:32:28.697Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-25T22:32:28.697Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-25T22:32:28.697Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-25T22:32:28.697Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-25T22:32:28.697Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14706.783 ms) ======
[2026-02-25T22:32:28.697Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-25T22:32:28.697Z] GC before operation: completed in 115.339 ms, heap usage 220.580 MB -> 95.619 MB.
[2026-02-25T22:32:30.649Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-25T22:32:32.602Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-25T22:32:35.614Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-25T22:32:37.581Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-25T22:32:38.531Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-25T22:32:39.480Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-25T22:32:41.429Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-25T22:32:42.386Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-25T22:32:43.336Z] 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.
[2026-02-25T22:32:43.336Z] The best model improves the baseline by 14.52%.
[2026-02-25T22:32:43.336Z] Top recommended movies for user id 72:
[2026-02-25T22:32:43.336Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-25T22:32:43.336Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-25T22:32:43.336Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-25T22:32:43.336Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-25T22:32:43.336Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-25T22:32:43.336Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14681.816 ms) ======
[2026-02-25T22:32:43.336Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-25T22:32:43.336Z] GC before operation: completed in 116.125 ms, heap usage 228.781 MB -> 91.285 MB.
[2026-02-25T22:32:46.160Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-25T22:32:48.117Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-25T22:32:51.130Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-25T22:32:53.091Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-25T22:32:54.040Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-25T22:32:56.016Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-25T22:32:56.967Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-25T22:32:57.917Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-25T22:32:58.871Z] 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.
[2026-02-25T22:32:58.871Z] The best model improves the baseline by 14.52%.
[2026-02-25T22:32:58.871Z] Top recommended movies for user id 72:
[2026-02-25T22:32:58.871Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-25T22:32:58.871Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-25T22:32:58.871Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-25T22:32:58.871Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-25T22:32:58.871Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-25T22:32:58.871Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15409.980 ms) ======
[2026-02-25T22:32:58.871Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-25T22:32:58.871Z] GC before operation: completed in 120.774 ms, heap usage 909.245 MB -> 96.822 MB.
[2026-02-25T22:33:00.829Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-25T22:33:02.782Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-25T22:33:05.857Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-25T22:33:07.810Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-25T22:33:08.760Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-25T22:33:09.712Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-25T22:33:11.662Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-25T22:33:12.613Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-25T22:33:12.613Z] 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.
[2026-02-25T22:33:12.613Z] The best model improves the baseline by 14.52%.
[2026-02-25T22:33:12.613Z] Top recommended movies for user id 72:
[2026-02-25T22:33:12.613Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-25T22:33:12.613Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-25T22:33:12.613Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-25T22:33:12.613Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-25T22:33:12.613Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-25T22:33:12.613Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14226.183 ms) ======
[2026-02-25T22:33:12.613Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-25T22:33:13.567Z] GC before operation: completed in 122.923 ms, heap usage 146.820 MB -> 95.620 MB.
[2026-02-25T22:33:15.518Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-25T22:33:17.473Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-25T22:33:19.434Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-25T22:33:21.386Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-25T22:33:23.343Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-25T22:33:24.301Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-25T22:33:25.252Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-25T22:33:27.213Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-25T22:33:27.213Z] 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.
[2026-02-25T22:33:27.213Z] The best model improves the baseline by 14.52%.
[2026-02-25T22:33:27.213Z] Top recommended movies for user id 72:
[2026-02-25T22:33:27.213Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-25T22:33:27.213Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-25T22:33:27.213Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-25T22:33:27.213Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-25T22:33:27.213Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-25T22:33:27.213Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14335.411 ms) ======
[2026-02-25T22:33:28.163Z] -----------------------------------
[2026-02-25T22:33:28.163Z] renaissance-movie-lens_0_PASSED
[2026-02-25T22:33:28.163Z] -----------------------------------
[2026-02-25T22:33:28.163Z]
[2026-02-25T22:33:28.163Z] TEST TEARDOWN:
[2026-02-25T22:33:28.163Z] Nothing to be done for teardown.
[2026-02-25T22:33:28.163Z] renaissance-movie-lens_0 Finish Time: Wed Feb 25 22:33:27 2026 Epoch Time (ms): 1772058807420