renaissance-movie-lens_0
[2026-02-12T03:32:33.108Z] Running test renaissance-movie-lens_0 ...
[2026-02-12T03:32:33.108Z] ===============================================
[2026-02-12T03:32:33.108Z] renaissance-movie-lens_0 Start Time: Thu Feb 12 03:32:29 2026 Epoch Time (ms): 1770867149053
[2026-02-12T03:32:33.108Z] variation: NoOptions
[2026-02-12T03:32:33.108Z] JVM_OPTIONS:
[2026-02-12T03:32:33.108Z] { \
[2026-02-12T03:32:33.108Z] echo ""; echo "TEST SETUP:"; \
[2026-02-12T03:32:33.108Z] echo "Nothing to be done for setup."; \
[2026-02-12T03:32:33.108Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17708635293022/renaissance-movie-lens_0"; \
[2026-02-12T03:32:33.108Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17708635293022/renaissance-movie-lens_0"; \
[2026-02-12T03:32:33.108Z] echo ""; echo "TESTING:"; \
[2026-02-12T03:32:33.108Z] "/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_17708635293022/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-12T03:32:33.109Z] 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_17708635293022/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-12T03:32:33.109Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-12T03:32:33.109Z] echo "Nothing to be done for teardown."; \
[2026-02-12T03:32:33.109Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17708635293022/TestTargetResult";
[2026-02-12T03:32:33.109Z]
[2026-02-12T03:32:33.109Z] TEST SETUP:
[2026-02-12T03:32:33.109Z] Nothing to be done for setup.
[2026-02-12T03:32:33.109Z]
[2026-02-12T03:32:33.109Z] TESTING:
[2026-02-12T03:32:52.189Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-02-12T03:33:25.495Z] 03:33:23.790 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-02-12T03:33:34.354Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-12T03:33:36.597Z] Training: 60056, validation: 20285, test: 19854
[2026-02-12T03:33:36.597Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-12T03:33:37.317Z] GC before operation: completed in 638.986 ms, heap usage 434.343 MB -> 76.229 MB.
[2026-02-12T03:34:05.022Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T03:34:24.271Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T03:34:37.371Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T03:34:50.453Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T03:34:59.315Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T03:35:05.299Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T03:35:12.536Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T03:35:19.778Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T03:35:20.103Z] 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.
[2026-02-12T03:35:20.429Z] The best model improves the baseline by 14.52%.
[2026-02-12T03:35:21.572Z] Top recommended movies for user id 72:
[2026-02-12T03:35:21.572Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T03:35:21.572Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T03:35:21.572Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T03:35:21.572Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T03:35:21.572Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T03:35:21.572Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (104068.398 ms) ======
[2026-02-12T03:35:21.572Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-12T03:35:22.737Z] GC before operation: completed in 1193.485 ms, heap usage 648.421 MB -> 92.155 MB.
[2026-02-12T03:35:35.825Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T03:35:48.927Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T03:35:59.808Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T03:36:10.577Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T03:36:16.449Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T03:36:22.320Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T03:36:29.557Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T03:36:34.503Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T03:36:35.641Z] 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.
[2026-02-12T03:36:36.001Z] The best model improves the baseline by 14.52%.
[2026-02-12T03:36:36.706Z] Top recommended movies for user id 72:
[2026-02-12T03:36:36.706Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T03:36:36.706Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T03:36:36.706Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T03:36:36.706Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T03:36:36.706Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T03:36:36.706Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (74024.565 ms) ======
[2026-02-12T03:36:36.706Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-12T03:36:37.428Z] GC before operation: completed in 913.522 ms, heap usage 381.827 MB -> 89.192 MB.
[2026-02-12T03:36:50.510Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T03:36:59.374Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T03:37:10.156Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T03:37:19.196Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T03:37:25.100Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T03:37:30.983Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T03:37:38.223Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T03:37:44.106Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T03:37:44.809Z] 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.
[2026-02-12T03:37:44.809Z] The best model improves the baseline by 14.52%.
[2026-02-12T03:37:45.959Z] Top recommended movies for user id 72:
[2026-02-12T03:37:45.959Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T03:37:45.959Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T03:37:45.959Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T03:37:45.959Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T03:37:45.959Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T03:37:45.959Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (68223.856 ms) ======
[2026-02-12T03:37:45.959Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-12T03:37:46.673Z] GC before operation: completed in 702.706 ms, heap usage 204.131 MB -> 89.603 MB.
[2026-02-12T03:37:57.545Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T03:38:06.403Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T03:38:17.197Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T03:38:26.076Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T03:38:33.318Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T03:38:39.189Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T03:38:45.064Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T03:38:50.954Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T03:38:52.095Z] 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.
[2026-02-12T03:38:52.095Z] The best model improves the baseline by 14.52%.
[2026-02-12T03:38:52.813Z] Top recommended movies for user id 72:
[2026-02-12T03:38:52.813Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T03:38:52.813Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T03:38:52.813Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T03:38:52.813Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T03:38:52.813Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T03:38:52.813Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (66211.624 ms) ======
[2026-02-12T03:38:52.813Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-12T03:38:53.535Z] GC before operation: completed in 690.278 ms, heap usage 405.559 MB -> 90.249 MB.
[2026-02-12T03:39:04.318Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T03:39:13.304Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T03:39:24.095Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T03:39:32.953Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T03:39:40.199Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T03:39:46.066Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T03:39:51.942Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T03:39:57.977Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T03:39:58.307Z] 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.
[2026-02-12T03:39:58.635Z] The best model improves the baseline by 14.52%.
[2026-02-12T03:39:59.335Z] Top recommended movies for user id 72:
[2026-02-12T03:39:59.335Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T03:39:59.335Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T03:39:59.335Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T03:39:59.335Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T03:39:59.335Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T03:39:59.335Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (65981.560 ms) ======
[2026-02-12T03:39:59.335Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-12T03:40:00.056Z] GC before operation: completed in 745.142 ms, heap usage 304.675 MB -> 89.991 MB.
[2026-02-12T03:40:10.847Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T03:40:18.094Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T03:40:27.206Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T03:40:36.194Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T03:40:40.935Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T03:40:46.801Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T03:40:51.527Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T03:40:57.398Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T03:40:57.398Z] 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.
[2026-02-12T03:40:57.725Z] The best model improves the baseline by 14.52%.
[2026-02-12T03:40:58.436Z] Top recommended movies for user id 72:
[2026-02-12T03:40:58.436Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T03:40:58.436Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T03:40:58.436Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T03:40:58.436Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T03:40:58.436Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T03:40:58.436Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (58207.240 ms) ======
[2026-02-12T03:40:58.436Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-12T03:40:59.163Z] GC before operation: completed in 781.265 ms, heap usage 1.117 GB -> 95.408 MB.
[2026-02-12T03:41:09.947Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T03:41:17.309Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T03:41:26.181Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T03:41:35.049Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T03:41:39.777Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T03:41:45.652Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T03:41:50.551Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T03:41:56.423Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T03:41:56.423Z] 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.
[2026-02-12T03:41:56.423Z] The best model improves the baseline by 14.52%.
[2026-02-12T03:41:57.125Z] Top recommended movies for user id 72:
[2026-02-12T03:41:57.125Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T03:41:57.125Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T03:41:57.125Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T03:41:57.125Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T03:41:57.125Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T03:41:57.125Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (58124.683 ms) ======
[2026-02-12T03:41:57.125Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-12T03:41:57.849Z] GC before operation: completed in 728.442 ms, heap usage 131.445 MB -> 91.660 MB.
[2026-02-12T03:42:06.706Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T03:42:15.561Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T03:42:24.437Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T03:42:31.771Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T03:42:37.648Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T03:42:42.366Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T03:42:47.082Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T03:42:52.049Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T03:42:53.188Z] 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.
[2026-02-12T03:42:53.188Z] The best model improves the baseline by 14.52%.
[2026-02-12T03:42:53.888Z] Top recommended movies for user id 72:
[2026-02-12T03:42:53.888Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T03:42:53.888Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T03:42:53.888Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T03:42:53.888Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T03:42:53.888Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T03:42:53.888Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (55889.439 ms) ======
[2026-02-12T03:42:53.888Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-12T03:42:54.597Z] GC before operation: completed in 785.021 ms, heap usage 465.498 MB -> 90.692 MB.
[2026-02-12T03:43:03.468Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T03:43:12.449Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T03:43:19.713Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T03:43:28.577Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T03:43:34.466Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T03:43:40.344Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T03:43:45.406Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T03:43:51.286Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T03:43:51.987Z] 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.
[2026-02-12T03:43:51.987Z] The best model improves the baseline by 14.52%.
[2026-02-12T03:43:52.696Z] Top recommended movies for user id 72:
[2026-02-12T03:43:52.696Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T03:43:52.696Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T03:43:52.696Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T03:43:52.696Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T03:43:52.696Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T03:43:52.696Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (58134.100 ms) ======
[2026-02-12T03:43:52.696Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-12T03:43:53.409Z] GC before operation: completed in 729.930 ms, heap usage 430.001 MB -> 90.493 MB.
[2026-02-12T03:44:04.211Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T03:44:13.055Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T03:44:22.001Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T03:44:30.839Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T03:44:35.560Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T03:44:41.443Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T03:44:46.169Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T03:44:52.038Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T03:44:52.738Z] 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.
[2026-02-12T03:44:52.738Z] The best model improves the baseline by 14.52%.
[2026-02-12T03:44:53.436Z] Top recommended movies for user id 72:
[2026-02-12T03:44:53.436Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T03:44:53.436Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T03:44:53.436Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T03:44:53.436Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T03:44:53.436Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T03:44:53.436Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (59991.950 ms) ======
[2026-02-12T03:44:53.436Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-12T03:44:54.149Z] GC before operation: completed in 714.869 ms, heap usage 113.825 MB -> 90.371 MB.
[2026-02-12T03:45:03.138Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T03:45:11.996Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T03:45:20.852Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T03:45:29.713Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T03:45:35.592Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T03:45:41.537Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T03:45:46.269Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T03:45:52.144Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T03:45:52.853Z] 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.
[2026-02-12T03:45:52.853Z] The best model improves the baseline by 14.52%.
[2026-02-12T03:45:53.555Z] Top recommended movies for user id 72:
[2026-02-12T03:45:53.555Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T03:45:53.555Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T03:45:53.555Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T03:45:53.555Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T03:45:53.555Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T03:45:53.555Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (59360.415 ms) ======
[2026-02-12T03:45:53.555Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-12T03:45:54.277Z] GC before operation: completed in 729.414 ms, heap usage 394.682 MB -> 90.552 MB.
[2026-02-12T03:46:03.131Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T03:46:11.986Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T03:46:20.844Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T03:46:29.799Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T03:46:34.528Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T03:46:40.404Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T03:46:46.280Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T03:46:50.997Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T03:46:51.323Z] 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.
[2026-02-12T03:46:51.323Z] The best model improves the baseline by 14.52%.
[2026-02-12T03:46:52.021Z] Top recommended movies for user id 72:
[2026-02-12T03:46:52.021Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T03:46:52.021Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T03:46:52.021Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T03:46:52.021Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T03:46:52.021Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T03:46:52.021Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (57841.643 ms) ======
[2026-02-12T03:46:52.021Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-12T03:46:53.173Z] GC before operation: completed in 757.695 ms, heap usage 222.847 MB -> 90.478 MB.
[2026-02-12T03:47:02.207Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T03:47:09.445Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T03:47:18.312Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T03:47:27.204Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T03:47:33.077Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T03:47:39.167Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T03:47:45.049Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T03:47:49.782Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T03:47:50.919Z] 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.
[2026-02-12T03:47:51.243Z] The best model improves the baseline by 14.52%.
[2026-02-12T03:47:51.945Z] Top recommended movies for user id 72:
[2026-02-12T03:47:51.945Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T03:47:51.945Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T03:47:51.945Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T03:47:51.945Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T03:47:51.945Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T03:47:51.945Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (58903.121 ms) ======
[2026-02-12T03:47:51.945Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-12T03:47:52.656Z] GC before operation: completed in 716.910 ms, heap usage 381.251 MB -> 90.802 MB.
[2026-02-12T03:48:03.437Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T03:48:10.681Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T03:48:19.684Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T03:48:28.557Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T03:48:33.291Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T03:48:39.179Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T03:48:45.073Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T03:48:50.958Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T03:48:51.286Z] 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.
[2026-02-12T03:48:51.286Z] The best model improves the baseline by 14.52%.
[2026-02-12T03:48:51.994Z] Top recommended movies for user id 72:
[2026-02-12T03:48:51.994Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T03:48:51.994Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T03:48:51.994Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T03:48:51.994Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T03:48:51.994Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T03:48:51.994Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (59478.402 ms) ======
[2026-02-12T03:48:51.994Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-12T03:48:52.719Z] GC before operation: completed in 719.287 ms, heap usage 333.431 MB -> 90.579 MB.
[2026-02-12T03:49:01.704Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T03:49:10.558Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T03:49:19.416Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T03:49:28.280Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T03:49:33.007Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T03:49:38.913Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T03:49:43.651Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T03:49:49.526Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T03:49:50.231Z] 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.
[2026-02-12T03:49:50.231Z] The best model improves the baseline by 14.52%.
[2026-02-12T03:49:50.931Z] Top recommended movies for user id 72:
[2026-02-12T03:49:50.931Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T03:49:50.931Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T03:49:50.931Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T03:49:50.931Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T03:49:50.931Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T03:49:50.931Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (58198.179 ms) ======
[2026-02-12T03:49:50.931Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-12T03:49:51.647Z] GC before operation: completed in 723.128 ms, heap usage 388.795 MB -> 90.897 MB.
[2026-02-12T03:50:00.503Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T03:50:11.282Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T03:50:20.237Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T03:50:29.118Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T03:50:33.845Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T03:50:38.583Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T03:50:43.326Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T03:50:48.054Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T03:50:49.190Z] 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.
[2026-02-12T03:50:49.190Z] The best model improves the baseline by 14.52%.
[2026-02-12T03:50:49.914Z] Top recommended movies for user id 72:
[2026-02-12T03:50:49.914Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T03:50:49.914Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T03:50:49.914Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T03:50:49.914Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T03:50:49.914Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T03:50:49.914Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (58117.329 ms) ======
[2026-02-12T03:50:49.914Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-12T03:50:50.635Z] GC before operation: completed in 769.182 ms, heap usage 832.471 MB -> 94.594 MB.
[2026-02-12T03:50:59.567Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T03:51:08.408Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T03:51:17.273Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T03:51:24.507Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T03:51:29.227Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T03:51:33.960Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T03:51:38.782Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T03:51:43.509Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T03:51:44.210Z] 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.
[2026-02-12T03:51:44.537Z] The best model improves the baseline by 14.52%.
[2026-02-12T03:51:45.253Z] Top recommended movies for user id 72:
[2026-02-12T03:51:45.253Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T03:51:45.253Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T03:51:45.253Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T03:51:45.253Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T03:51:45.253Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T03:51:45.253Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (54552.915 ms) ======
[2026-02-12T03:51:45.253Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-12T03:51:45.976Z] GC before operation: completed in 760.763 ms, heap usage 654.242 MB -> 94.364 MB.
[2026-02-12T03:51:54.833Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T03:52:03.687Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T03:52:10.945Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T03:52:19.953Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T03:52:23.951Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T03:52:29.844Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T03:52:35.737Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T03:52:40.463Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T03:52:40.791Z] 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.
[2026-02-12T03:52:40.791Z] The best model improves the baseline by 14.52%.
[2026-02-12T03:52:41.492Z] Top recommended movies for user id 72:
[2026-02-12T03:52:41.492Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T03:52:41.492Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T03:52:41.492Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T03:52:41.492Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T03:52:41.492Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T03:52:41.492Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (55686.974 ms) ======
[2026-02-12T03:52:41.492Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-12T03:52:42.213Z] GC before operation: completed in 811.217 ms, heap usage 1.245 GB -> 96.051 MB.
[2026-02-12T03:52:51.079Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T03:52:59.932Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T03:53:08.781Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T03:53:16.011Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T03:53:20.730Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T03:53:25.464Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T03:53:31.491Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T03:53:36.194Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T03:53:36.519Z] 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.
[2026-02-12T03:53:36.843Z] The best model improves the baseline by 14.52%.
[2026-02-12T03:53:37.542Z] Top recommended movies for user id 72:
[2026-02-12T03:53:37.542Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T03:53:37.542Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T03:53:37.542Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T03:53:37.542Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T03:53:37.542Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T03:53:37.542Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (55033.032 ms) ======
[2026-02-12T03:53:37.542Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-12T03:53:38.249Z] GC before operation: completed in 776.734 ms, heap usage 530.209 MB -> 90.955 MB.
[2026-02-12T03:53:47.075Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T03:53:55.948Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T03:54:04.865Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T03:54:12.214Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T03:54:18.108Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T03:54:24.001Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T03:54:28.738Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T03:54:34.631Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T03:54:35.331Z] 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.
[2026-02-12T03:54:35.331Z] The best model improves the baseline by 14.52%.
[2026-02-12T03:54:36.048Z] Top recommended movies for user id 72:
[2026-02-12T03:54:36.048Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T03:54:36.048Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T03:54:36.048Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T03:54:36.048Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T03:54:36.048Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T03:54:36.048Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (57847.924 ms) ======
[2026-02-12T03:54:39.814Z] -----------------------------------
[2026-02-12T03:54:39.814Z] renaissance-movie-lens_0_PASSED
[2026-02-12T03:54:39.814Z] -----------------------------------
[2026-02-12T03:54:39.814Z]
[2026-02-12T03:54:39.814Z] TEST TEARDOWN:
[2026-02-12T03:54:39.814Z] Nothing to be done for teardown.
[2026-02-12T03:54:39.814Z] renaissance-movie-lens_0 Finish Time: Thu Feb 12 03:54:39 2026 Epoch Time (ms): 1770868479685