renaissance-movie-lens_0
[2026-02-18T23:28:35.807Z] Running test renaissance-movie-lens_0 ...
[2026-02-18T23:28:35.807Z] ===============================================
[2026-02-18T23:28:35.807Z] renaissance-movie-lens_0 Start Time: Wed Feb 18 23:28:31 2026 Epoch Time (ms): 1771457311537
[2026-02-18T23:28:35.807Z] variation: NoOptions
[2026-02-18T23:28:35.807Z] JVM_OPTIONS:
[2026-02-18T23:28:35.807Z] { \
[2026-02-18T23:28:35.807Z] echo ""; echo "TEST SETUP:"; \
[2026-02-18T23:28:35.807Z] echo "Nothing to be done for setup."; \
[2026-02-18T23:28:35.807Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17714537178639/renaissance-movie-lens_0"; \
[2026-02-18T23:28:35.807Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17714537178639/renaissance-movie-lens_0"; \
[2026-02-18T23:28:35.807Z] echo ""; echo "TESTING:"; \
[2026-02-18T23:28:35.807Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_riscv64_linux_testList_1/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_openjdk21_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17714537178639/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-18T23:28:35.807Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17714537178639/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-18T23:28:35.807Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-18T23:28:35.807Z] echo "Nothing to be done for teardown."; \
[2026-02-18T23:28:35.807Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17714537178639/TestTargetResult";
[2026-02-18T23:28:35.807Z]
[2026-02-18T23:28:35.807Z] TEST SETUP:
[2026-02-18T23:28:35.807Z] Nothing to be done for setup.
[2026-02-18T23:28:35.807Z]
[2026-02-18T23:28:35.807Z] TESTING:
[2026-02-18T23:28:54.892Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-02-18T23:29:28.121Z] 23:29:26.148 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-02-18T23:29:36.903Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-18T23:29:39.103Z] Training: 60056, validation: 20285, test: 19854
[2026-02-18T23:29:39.103Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-18T23:29:39.424Z] GC before operation: completed in 595.793 ms, heap usage 311.154 MB -> 75.974 MB.
[2026-02-18T23:30:07.110Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-18T23:30:22.960Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-18T23:30:35.958Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-18T23:30:48.970Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-18T23:30:57.851Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-18T23:31:05.029Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-18T23:31:12.195Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-18T23:31:19.350Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-18T23:31:19.350Z] 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.
[2026-02-18T23:31:19.668Z] The best model improves the baseline by 14.52%.
[2026-02-18T23:31:20.862Z] Top recommended movies for user id 72:
[2026-02-18T23:31:20.862Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-18T23:31:20.862Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-18T23:31:20.862Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-18T23:31:20.862Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-18T23:31:20.862Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-18T23:31:20.862Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (101472.693 ms) ======
[2026-02-18T23:31:20.862Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-18T23:31:22.014Z] GC before operation: completed in 1104.484 ms, heap usage 208.436 MB -> 91.101 MB.
[2026-02-18T23:31:35.043Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-18T23:31:45.815Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-18T23:31:56.578Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-18T23:32:05.376Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-18T23:32:12.546Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-18T23:32:18.364Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-18T23:32:25.610Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-18T23:32:31.409Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-18T23:32:31.731Z] 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.
[2026-02-18T23:32:31.731Z] The best model improves the baseline by 14.52%.
[2026-02-18T23:32:32.413Z] Top recommended movies for user id 72:
[2026-02-18T23:32:32.413Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-18T23:32:32.747Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-18T23:32:32.747Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-18T23:32:32.747Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-18T23:32:32.747Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-18T23:32:32.747Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (70552.417 ms) ======
[2026-02-18T23:32:32.747Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-18T23:32:33.464Z] GC before operation: completed in 993.881 ms, heap usage 294.077 MB -> 88.834 MB.
[2026-02-18T23:32:44.143Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-18T23:32:54.830Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-18T23:33:03.637Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-18T23:33:12.395Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-18T23:33:18.203Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-18T23:33:24.007Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-18T23:33:29.828Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-18T23:33:35.634Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-18T23:33:36.750Z] 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.
[2026-02-18T23:33:36.750Z] The best model improves the baseline by 14.52%.
[2026-02-18T23:33:37.533Z] Top recommended movies for user id 72:
[2026-02-18T23:33:37.533Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-18T23:33:37.533Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-18T23:33:37.533Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-18T23:33:37.533Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-18T23:33:37.533Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-18T23:33:37.533Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (63987.795 ms) ======
[2026-02-18T23:33:37.533Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-18T23:33:38.684Z] GC before operation: completed in 991.883 ms, heap usage 457.416 MB -> 89.833 MB.
[2026-02-18T23:33:49.382Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-18T23:33:56.540Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-18T23:34:05.304Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-18T23:34:16.018Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-18T23:34:20.683Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-18T23:34:27.923Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-18T23:34:32.604Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-18T23:34:38.640Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-18T23:34:38.640Z] 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.
[2026-02-18T23:34:38.959Z] The best model improves the baseline by 14.52%.
[2026-02-18T23:34:39.645Z] Top recommended movies for user id 72:
[2026-02-18T23:34:39.645Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-18T23:34:39.645Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-18T23:34:39.645Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-18T23:34:39.645Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-18T23:34:39.645Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-18T23:34:39.645Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (61052.323 ms) ======
[2026-02-18T23:34:39.645Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-18T23:34:40.775Z] GC before operation: completed in 924.314 ms, heap usage 463.545 MB -> 89.951 MB.
[2026-02-18T23:34:51.469Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-18T23:35:00.232Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-18T23:35:09.024Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-18T23:35:17.788Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-18T23:35:24.939Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-18T23:35:30.740Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-18T23:35:35.399Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-18T23:35:41.345Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-18T23:35:42.453Z] 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.
[2026-02-18T23:35:42.453Z] The best model improves the baseline by 14.52%.
[2026-02-18T23:35:43.135Z] Top recommended movies for user id 72:
[2026-02-18T23:35:43.135Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-18T23:35:43.135Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-18T23:35:43.135Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-18T23:35:43.135Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-18T23:35:43.135Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-18T23:35:43.135Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (62681.162 ms) ======
[2026-02-18T23:35:43.135Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-18T23:35:44.320Z] GC before operation: completed in 976.687 ms, heap usage 717.257 MB -> 93.435 MB.
[2026-02-18T23:35:55.028Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-18T23:36:02.183Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-18T23:36:10.934Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-18T23:36:19.707Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-18T23:36:24.476Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-18T23:36:29.166Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-18T23:36:36.321Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-18T23:36:40.974Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-18T23:36:42.084Z] 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.
[2026-02-18T23:36:42.084Z] The best model improves the baseline by 14.52%.
[2026-02-18T23:36:42.768Z] Top recommended movies for user id 72:
[2026-02-18T23:36:42.768Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-18T23:36:42.768Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-18T23:36:42.768Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-18T23:36:42.768Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-18T23:36:42.768Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-18T23:36:42.768Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (58650.983 ms) ======
[2026-02-18T23:36:42.768Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-18T23:36:43.485Z] GC before operation: completed in 657.831 ms, heap usage 209.113 MB -> 89.886 MB.
[2026-02-18T23:36:54.162Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-18T23:37:03.013Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-18T23:37:11.797Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-18T23:37:20.583Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-18T23:37:25.281Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-18T23:37:31.081Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-18T23:37:36.896Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-18T23:37:41.586Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-18T23:37:43.205Z] 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.
[2026-02-18T23:37:43.205Z] The best model improves the baseline by 14.52%.
[2026-02-18T23:37:43.894Z] Top recommended movies for user id 72:
[2026-02-18T23:37:43.894Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-18T23:37:43.894Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-18T23:37:43.894Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-18T23:37:43.894Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-18T23:37:43.894Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-18T23:37:43.894Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (60218.460 ms) ======
[2026-02-18T23:37:43.894Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-18T23:37:44.579Z] GC before operation: completed in 679.628 ms, heap usage 168.207 MB -> 89.880 MB.
[2026-02-18T23:37:53.386Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-18T23:38:02.174Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-18T23:38:12.875Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-18T23:38:20.037Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-18T23:38:24.769Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-18T23:38:29.445Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-18T23:38:35.251Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-18T23:38:39.925Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-18T23:38:40.610Z] 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.
[2026-02-18T23:38:40.610Z] The best model improves the baseline by 14.52%.
[2026-02-18T23:38:41.295Z] Top recommended movies for user id 72:
[2026-02-18T23:38:41.296Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-18T23:38:41.296Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-18T23:38:41.296Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-18T23:38:41.296Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-18T23:38:41.296Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-18T23:38:41.296Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (56827.529 ms) ======
[2026-02-18T23:38:41.296Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-18T23:38:41.982Z] GC before operation: completed in 742.739 ms, heap usage 812.417 MB -> 94.037 MB.
[2026-02-18T23:38:50.803Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-18T23:38:59.594Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-18T23:39:08.398Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-18T23:39:15.560Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-18T23:39:20.229Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-18T23:39:26.036Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-18T23:39:30.701Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-18T23:39:35.377Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-18T23:39:36.556Z] 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.
[2026-02-18T23:39:36.556Z] The best model improves the baseline by 14.52%.
[2026-02-18T23:39:37.732Z] Top recommended movies for user id 72:
[2026-02-18T23:39:37.732Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-18T23:39:37.732Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-18T23:39:37.732Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-18T23:39:37.732Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-18T23:39:37.732Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-18T23:39:37.732Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (55547.348 ms) ======
[2026-02-18T23:39:37.732Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-18T23:39:38.423Z] GC before operation: completed in 689.984 ms, heap usage 192.644 MB -> 89.901 MB.
[2026-02-18T23:39:49.114Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-18T23:39:56.286Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-18T23:40:03.450Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-18T23:40:12.237Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-18T23:40:16.981Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-18T23:40:21.637Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-18T23:40:26.308Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-18T23:40:30.974Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-18T23:40:32.084Z] 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.
[2026-02-18T23:40:32.084Z] The best model improves the baseline by 14.52%.
[2026-02-18T23:40:32.771Z] Top recommended movies for user id 72:
[2026-02-18T23:40:32.771Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-18T23:40:32.771Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-18T23:40:32.771Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-18T23:40:32.771Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-18T23:40:32.771Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-18T23:40:32.771Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (54506.520 ms) ======
[2026-02-18T23:40:32.771Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-18T23:40:33.478Z] GC before operation: completed in 715.251 ms, heap usage 563.823 MB -> 93.864 MB.
[2026-02-18T23:40:42.263Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-18T23:40:51.139Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-18T23:40:59.914Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-18T23:41:08.682Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-18T23:41:12.379Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-18T23:41:18.185Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-18T23:41:22.866Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-18T23:41:28.677Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-18T23:41:28.677Z] 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.
[2026-02-18T23:41:28.993Z] The best model improves the baseline by 14.52%.
[2026-02-18T23:41:29.788Z] Top recommended movies for user id 72:
[2026-02-18T23:41:29.788Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-18T23:41:29.788Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-18T23:41:29.788Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-18T23:41:29.788Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-18T23:41:29.788Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-18T23:41:29.788Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (56051.860 ms) ======
[2026-02-18T23:41:29.788Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-18T23:41:30.107Z] GC before operation: completed in 762.547 ms, heap usage 307.401 MB -> 90.387 MB.
[2026-02-18T23:41:38.899Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-18T23:41:47.717Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-18T23:41:54.884Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-18T23:42:02.072Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-18T23:42:07.937Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-18T23:42:12.615Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-18T23:42:17.339Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-18T23:42:23.210Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-18T23:42:23.211Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-18T23:42:23.211Z] The best model improves the baseline by 14.52%.
[2026-02-18T23:42:23.893Z] Top recommended movies for user id 72:
[2026-02-18T23:42:23.893Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-18T23:42:23.893Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-18T23:42:23.893Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-18T23:42:23.893Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-18T23:42:23.893Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-18T23:42:23.893Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (53727.008 ms) ======
[2026-02-18T23:42:23.893Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-18T23:42:24.587Z] GC before operation: completed in 711.010 ms, heap usage 452.622 MB -> 90.885 MB.
[2026-02-18T23:42:33.369Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-18T23:42:42.201Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-18T23:42:49.361Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-18T23:42:58.133Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-18T23:43:02.807Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-18T23:43:09.967Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-18T23:43:14.622Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-18T23:43:20.546Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-18T23:43:21.233Z] 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.
[2026-02-18T23:43:21.233Z] The best model improves the baseline by 14.52%.
[2026-02-18T23:43:21.917Z] Top recommended movies for user id 72:
[2026-02-18T23:43:21.917Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-18T23:43:21.917Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-18T23:43:21.917Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-18T23:43:21.917Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-18T23:43:21.917Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-18T23:43:21.917Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (57325.831 ms) ======
[2026-02-18T23:43:21.917Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-18T23:43:22.615Z] GC before operation: completed in 699.255 ms, heap usage 123.621 MB -> 90.167 MB.
[2026-02-18T23:43:33.301Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-18T23:43:40.451Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-18T23:43:51.170Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-18T23:43:58.331Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-18T23:44:04.280Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-18T23:44:10.073Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-18T23:44:15.911Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-18T23:44:20.591Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-18T23:44:21.702Z] 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.
[2026-02-18T23:44:21.702Z] The best model improves the baseline by 14.52%.
[2026-02-18T23:44:22.443Z] Top recommended movies for user id 72:
[2026-02-18T23:44:22.443Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-18T23:44:22.443Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-18T23:44:22.443Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-18T23:44:22.443Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-18T23:44:22.443Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-18T23:44:22.443Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (59815.603 ms) ======
[2026-02-18T23:44:22.443Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-18T23:44:23.153Z] GC before operation: completed in 693.719 ms, heap usage 376.651 MB -> 90.254 MB.
[2026-02-18T23:44:31.934Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-18T23:44:40.711Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-18T23:44:49.461Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-18T23:44:56.668Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-18T23:45:01.330Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-18T23:45:05.991Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-18T23:45:11.845Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-18T23:45:16.595Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-18T23:45:16.918Z] 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.
[2026-02-18T23:45:17.238Z] The best model improves the baseline by 14.52%.
[2026-02-18T23:45:17.934Z] Top recommended movies for user id 72:
[2026-02-18T23:45:17.934Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-18T23:45:17.934Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-18T23:45:17.934Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-18T23:45:17.934Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-18T23:45:17.934Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-18T23:45:17.934Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (54530.483 ms) ======
[2026-02-18T23:45:17.934Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-18T23:45:18.625Z] GC before operation: completed in 713.391 ms, heap usage 267.894 MB -> 90.281 MB.
[2026-02-18T23:45:27.395Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-18T23:45:36.178Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-18T23:45:43.355Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-18T23:45:52.186Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-18T23:45:56.890Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-18T23:46:01.586Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-18T23:46:07.419Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-18T23:46:12.090Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-18T23:46:12.778Z] 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.
[2026-02-18T23:46:13.099Z] The best model improves the baseline by 14.52%.
[2026-02-18T23:46:13.802Z] Top recommended movies for user id 72:
[2026-02-18T23:46:13.802Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-18T23:46:13.802Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-18T23:46:13.802Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-18T23:46:13.802Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-18T23:46:13.802Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-18T23:46:13.802Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (55146.304 ms) ======
[2026-02-18T23:46:13.802Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-18T23:46:14.500Z] GC before operation: completed in 720.245 ms, heap usage 503.299 MB -> 90.534 MB.
[2026-02-18T23:46:23.283Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-18T23:46:32.058Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-18T23:46:39.380Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-18T23:46:48.169Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-18T23:46:52.838Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-18T23:46:58.643Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-18T23:47:04.432Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-18T23:47:09.104Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-18T23:47:10.246Z] 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.
[2026-02-18T23:47:10.246Z] The best model improves the baseline by 14.52%.
[2026-02-18T23:47:10.927Z] Top recommended movies for user id 72:
[2026-02-18T23:47:10.927Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-18T23:47:10.927Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-18T23:47:10.927Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-18T23:47:10.927Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-18T23:47:10.927Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-18T23:47:10.927Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (56650.772 ms) ======
[2026-02-18T23:47:10.927Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-18T23:47:11.661Z] GC before operation: completed in 693.350 ms, heap usage 492.648 MB -> 90.556 MB.
[2026-02-18T23:47:20.422Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-18T23:47:29.231Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-18T23:47:38.007Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-18T23:47:46.792Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-18T23:47:52.719Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-18T23:47:58.529Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-18T23:48:03.200Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-18T23:48:09.065Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-18T23:48:09.751Z] 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.
[2026-02-18T23:48:10.068Z] The best model improves the baseline by 14.52%.
[2026-02-18T23:48:10.762Z] Top recommended movies for user id 72:
[2026-02-18T23:48:10.762Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-18T23:48:10.762Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-18T23:48:10.762Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-18T23:48:10.762Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-18T23:48:10.762Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-18T23:48:10.762Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (58849.280 ms) ======
[2026-02-18T23:48:10.762Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-18T23:48:11.456Z] GC before operation: completed in 708.141 ms, heap usage 404.022 MB -> 90.327 MB.
[2026-02-18T23:48:20.237Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-18T23:48:29.070Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-18T23:48:37.992Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-18T23:48:46.768Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-18T23:48:51.460Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-18T23:48:57.280Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-18T23:49:03.087Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-18T23:49:07.883Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-18T23:49:09.015Z] 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.
[2026-02-18T23:49:09.015Z] The best model improves the baseline by 14.52%.
[2026-02-18T23:49:09.721Z] Top recommended movies for user id 72:
[2026-02-18T23:49:09.721Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-18T23:49:09.721Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-18T23:49:09.721Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-18T23:49:09.721Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-18T23:49:09.721Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-18T23:49:09.721Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (58282.026 ms) ======
[2026-02-18T23:49:09.721Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-18T23:49:10.415Z] GC before operation: completed in 699.463 ms, heap usage 415.248 MB -> 90.367 MB.
[2026-02-18T23:49:19.186Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-18T23:49:27.949Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-18T23:49:35.129Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-18T23:49:42.500Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-18T23:49:48.301Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-18T23:49:52.967Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-18T23:49:57.631Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-18T23:50:02.289Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-18T23:50:03.398Z] 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.
[2026-02-18T23:50:03.398Z] The best model improves the baseline by 14.52%.
[2026-02-18T23:50:04.083Z] Top recommended movies for user id 72:
[2026-02-18T23:50:04.083Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-18T23:50:04.083Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-18T23:50:04.083Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-18T23:50:04.083Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-18T23:50:04.083Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-18T23:50:04.083Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (53724.751 ms) ======
[2026-02-18T23:50:08.739Z] -----------------------------------
[2026-02-18T23:50:08.739Z] renaissance-movie-lens_0_PASSED
[2026-02-18T23:50:08.739Z] -----------------------------------
[2026-02-18T23:50:08.739Z]
[2026-02-18T23:50:08.739Z] TEST TEARDOWN:
[2026-02-18T23:50:08.739Z] Nothing to be done for teardown.
[2026-02-18T23:50:08.739Z] renaissance-movie-lens_0 Finish Time: Wed Feb 18 23:50:07 2026 Epoch Time (ms): 1771458607925