renaissance-movie-lens_0
[2025-10-02T00:59:37.402Z] Running test renaissance-movie-lens_0 ...
[2025-10-02T00:59:37.402Z] ===============================================
[2025-10-02T00:59:37.402Z] renaissance-movie-lens_0 Start Time: Thu Oct 2 00:59:32 2025 Epoch Time (ms): 1759366772644
[2025-10-02T00:59:37.402Z] variation: NoOptions
[2025-10-02T00:59:37.402Z] JVM_OPTIONS:
[2025-10-02T00:59:37.402Z] { \
[2025-10-02T00:59:37.402Z] echo ""; echo "TEST SETUP:"; \
[2025-10-02T00:59:37.402Z] echo "Nothing to be done for setup."; \
[2025-10-02T00:59:37.402Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17593622386660/renaissance-movie-lens_0"; \
[2025-10-02T00:59:37.402Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17593622386660/renaissance-movie-lens_0"; \
[2025-10-02T00:59:37.402Z] echo ""; echo "TESTING:"; \
[2025-10-02T00:59:37.402Z] "/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_17593622386660/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-10-02T00:59:37.402Z] 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_17593622386660/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-10-02T00:59:37.402Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-10-02T00:59:37.402Z] echo "Nothing to be done for teardown."; \
[2025-10-02T00:59:37.402Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17593622386660/TestTargetResult";
[2025-10-02T00:59:37.402Z]
[2025-10-02T00:59:37.402Z] TEST SETUP:
[2025-10-02T00:59:37.402Z] Nothing to be done for setup.
[2025-10-02T00:59:37.402Z]
[2025-10-02T00:59:37.402Z] TESTING:
[2025-10-02T00:59:56.630Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2025-10-02T01:00:30.018Z] 01:00:28.203 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2025-10-02T01:00:38.887Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-10-02T01:00:40.537Z] Training: 60056, validation: 20285, test: 19854
[2025-10-02T01:00:40.537Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-10-02T01:00:41.254Z] GC before operation: completed in 567.309 ms, heap usage 433.901 MB -> 76.212 MB.
[2025-10-02T01:01:09.008Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-02T01:01:24.877Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-02T01:01:38.060Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-02T01:01:51.162Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-02T01:01:58.410Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-02T01:02:04.285Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-02T01:02:11.636Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-02T01:02:18.881Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-02T01:02:19.585Z] 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.
[2025-10-02T01:02:19.934Z] The best model improves the baseline by 14.52%.
[2025-10-02T01:02:21.245Z] Top recommended movies for user id 72:
[2025-10-02T01:02:21.245Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-02T01:02:21.245Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-02T01:02:21.245Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-02T01:02:21.245Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-02T01:02:21.245Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-02T01:02:21.245Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (99724.854 ms) ======
[2025-10-02T01:02:21.245Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-10-02T01:02:21.975Z] GC before operation: completed in 1118.394 ms, heap usage 266.821 MB -> 89.507 MB.
[2025-10-02T01:02:35.097Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-02T01:02:45.878Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-02T01:02:54.740Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-02T01:03:05.709Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-02T01:03:10.880Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-02T01:03:18.128Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-02T01:03:23.998Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-02T01:03:29.869Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-02T01:03:30.195Z] 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.
[2025-10-02T01:03:30.524Z] The best model improves the baseline by 14.52%.
[2025-10-02T01:03:31.236Z] Top recommended movies for user id 72:
[2025-10-02T01:03:31.236Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-02T01:03:31.236Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-02T01:03:31.236Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-02T01:03:31.236Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-02T01:03:31.236Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-02T01:03:31.236Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (68963.536 ms) ======
[2025-10-02T01:03:31.236Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-10-02T01:03:31.955Z] GC before operation: completed in 972.820 ms, heap usage 766.571 MB -> 92.851 MB.
[2025-10-02T01:03:42.752Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-02T01:03:53.545Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-02T01:04:02.412Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-02T01:04:11.303Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-02T01:04:17.366Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-02T01:04:23.280Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-02T01:04:29.170Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-02T01:04:35.158Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-02T01:04:36.294Z] 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.
[2025-10-02T01:04:36.294Z] The best model improves the baseline by 14.52%.
[2025-10-02T01:04:36.994Z] Top recommended movies for user id 72:
[2025-10-02T01:04:36.994Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-02T01:04:36.994Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-02T01:04:36.994Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-02T01:04:36.994Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-02T01:04:36.994Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-02T01:04:36.994Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (64930.216 ms) ======
[2025-10-02T01:04:36.994Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-10-02T01:04:37.709Z] GC before operation: completed in 783.863 ms, heap usage 154.158 MB -> 89.508 MB.
[2025-10-02T01:04:48.506Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-02T01:04:57.357Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-02T01:05:06.220Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-02T01:05:15.228Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-02T01:05:22.472Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-02T01:05:28.361Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-02T01:05:34.276Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-02T01:05:40.158Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-02T01:05:40.158Z] 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.
[2025-10-02T01:05:40.481Z] The best model improves the baseline by 14.52%.
[2025-10-02T01:05:41.181Z] Top recommended movies for user id 72:
[2025-10-02T01:05:41.181Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-02T01:05:41.181Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-02T01:05:41.181Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-02T01:05:41.181Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-02T01:05:41.181Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-02T01:05:41.181Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (63215.877 ms) ======
[2025-10-02T01:05:41.181Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-10-02T01:05:41.886Z] GC before operation: completed in 713.763 ms, heap usage 421.359 MB -> 90.221 MB.
[2025-10-02T01:05:52.665Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-02T01:06:01.538Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-02T01:06:10.586Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-02T01:06:21.392Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-02T01:06:26.445Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-02T01:06:32.316Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-02T01:06:38.182Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-02T01:06:44.046Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-02T01:06:45.179Z] 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.
[2025-10-02T01:06:45.179Z] The best model improves the baseline by 14.52%.
[2025-10-02T01:06:45.896Z] Top recommended movies for user id 72:
[2025-10-02T01:06:45.896Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-02T01:06:45.896Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-02T01:06:45.896Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-02T01:06:45.896Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-02T01:06:45.896Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-02T01:06:45.896Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (64052.855 ms) ======
[2025-10-02T01:06:45.896Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-10-02T01:06:46.622Z] GC before operation: completed in 725.648 ms, heap usage 438.231 MB -> 90.095 MB.
[2025-10-02T01:06:57.403Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-02T01:07:04.690Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-02T01:07:13.649Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-02T01:07:22.494Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-02T01:07:26.238Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-02T01:07:32.130Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-02T01:07:36.881Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-02T01:07:42.747Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-02T01:07:42.747Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-10-02T01:07:43.071Z] The best model improves the baseline by 14.52%.
[2025-10-02T01:07:43.786Z] Top recommended movies for user id 72:
[2025-10-02T01:07:43.786Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-02T01:07:43.786Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-02T01:07:43.786Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-02T01:07:43.786Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-02T01:07:43.786Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-02T01:07:43.786Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (57179.638 ms) ======
[2025-10-02T01:07:43.786Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-10-02T01:07:44.506Z] GC before operation: completed in 776.684 ms, heap usage 918.858 MB -> 94.728 MB.
[2025-10-02T01:07:53.419Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-02T01:08:04.472Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-02T01:08:11.689Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-02T01:08:20.530Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-02T01:08:26.400Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-02T01:08:32.282Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-02T01:08:38.151Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-02T01:08:42.874Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-02T01:08:44.012Z] 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.
[2025-10-02T01:08:44.012Z] The best model improves the baseline by 14.52%.
[2025-10-02T01:08:44.712Z] Top recommended movies for user id 72:
[2025-10-02T01:08:44.712Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-02T01:08:44.712Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-02T01:08:44.712Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-02T01:08:44.712Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-02T01:08:44.712Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-02T01:08:44.712Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (60420.214 ms) ======
[2025-10-02T01:08:44.712Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-10-02T01:08:45.442Z] GC before operation: completed in 710.529 ms, heap usage 381.711 MB -> 90.405 MB.
[2025-10-02T01:08:54.359Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-02T01:09:03.338Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-02T01:09:12.205Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-02T01:09:21.059Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-02T01:09:25.794Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-02T01:09:30.515Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-02T01:09:36.412Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-02T01:09:42.279Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-02T01:09:42.605Z] 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.
[2025-10-02T01:09:42.931Z] The best model improves the baseline by 14.52%.
[2025-10-02T01:09:43.630Z] Top recommended movies for user id 72:
[2025-10-02T01:09:43.630Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-02T01:09:43.630Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-02T01:09:43.630Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-02T01:09:43.630Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-02T01:09:43.630Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-02T01:09:43.630Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (58051.431 ms) ======
[2025-10-02T01:09:43.630Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-10-02T01:09:44.346Z] GC before operation: completed in 711.594 ms, heap usage 301.488 MB -> 90.508 MB.
[2025-10-02T01:09:55.309Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-02T01:10:02.598Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-02T01:10:11.442Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-02T01:10:20.297Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-02T01:10:24.048Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-02T01:10:29.911Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-02T01:10:35.771Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-02T01:10:40.507Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-02T01:10:41.208Z] 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.
[2025-10-02T01:10:41.208Z] The best model improves the baseline by 14.52%.
[2025-10-02T01:10:41.984Z] Top recommended movies for user id 72:
[2025-10-02T01:10:41.984Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-02T01:10:41.984Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-02T01:10:41.984Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-02T01:10:41.984Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-02T01:10:41.984Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-02T01:10:41.984Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (57666.751 ms) ======
[2025-10-02T01:10:41.984Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-10-02T01:10:42.714Z] GC before operation: completed in 771.678 ms, heap usage 798.379 MB -> 94.265 MB.
[2025-10-02T01:10:51.665Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-02T01:11:00.566Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-02T01:11:09.401Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-02T01:11:18.255Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-02T01:11:24.124Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-02T01:11:28.848Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-02T01:11:34.734Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-02T01:11:40.620Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-02T01:11:40.954Z] 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.
[2025-10-02T01:11:40.954Z] The best model improves the baseline by 14.52%.
[2025-10-02T01:11:41.710Z] Top recommended movies for user id 72:
[2025-10-02T01:11:41.710Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-02T01:11:41.710Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-02T01:11:41.710Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-02T01:11:41.710Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-02T01:11:41.710Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-02T01:11:41.710Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (59021.541 ms) ======
[2025-10-02T01:11:41.710Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-10-02T01:11:42.851Z] GC before operation: completed in 777.812 ms, heap usage 383.684 MB -> 90.791 MB.
[2025-10-02T01:11:51.707Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-02T01:12:00.559Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-02T01:12:07.807Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-02T01:12:15.044Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-02T01:12:20.922Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-02T01:12:25.640Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-02T01:12:30.383Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-02T01:12:35.103Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-02T01:12:36.350Z] 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.
[2025-10-02T01:12:36.350Z] The best model improves the baseline by 14.52%.
[2025-10-02T01:12:37.047Z] Top recommended movies for user id 72:
[2025-10-02T01:12:37.047Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-02T01:12:37.047Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-02T01:12:37.047Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-02T01:12:37.047Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-02T01:12:37.047Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-02T01:12:37.047Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (54447.888 ms) ======
[2025-10-02T01:12:37.047Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-10-02T01:12:37.798Z] GC before operation: completed in 808.764 ms, heap usage 1.295 GB -> 95.911 MB.
[2025-10-02T01:12:46.646Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-02T01:12:55.506Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-02T01:13:02.748Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-02T01:13:11.603Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-02T01:13:15.355Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-02T01:13:20.104Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-02T01:13:25.988Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-02T01:13:30.779Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-02T01:13:31.106Z] 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.
[2025-10-02T01:13:31.106Z] The best model improves the baseline by 14.52%.
[2025-10-02T01:13:31.821Z] Top recommended movies for user id 72:
[2025-10-02T01:13:31.822Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-02T01:13:31.822Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-02T01:13:31.822Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-02T01:13:31.822Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-02T01:13:31.822Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-02T01:13:31.822Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (53998.666 ms) ======
[2025-10-02T01:13:31.822Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-10-02T01:13:32.535Z] GC before operation: completed in 804.848 ms, heap usage 1.242 GB -> 96.049 MB.
[2025-10-02T01:13:41.395Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-02T01:13:50.275Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-02T01:13:59.119Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-02T01:14:06.374Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-02T01:14:11.102Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-02T01:14:16.968Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-02T01:14:21.893Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-02T01:14:27.756Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-02T01:14:28.081Z] 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.
[2025-10-02T01:14:28.081Z] The best model improves the baseline by 14.52%.
[2025-10-02T01:14:28.789Z] Top recommended movies for user id 72:
[2025-10-02T01:14:28.789Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-02T01:14:28.789Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-02T01:14:28.789Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-02T01:14:28.789Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-02T01:14:28.789Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-02T01:14:28.789Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (56272.413 ms) ======
[2025-10-02T01:14:28.789Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-10-02T01:14:29.503Z] GC before operation: completed in 738.311 ms, heap usage 384.917 MB -> 90.929 MB.
[2025-10-02T01:14:40.278Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-02T01:14:49.127Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-02T01:14:57.971Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-02T01:15:05.209Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-02T01:15:11.075Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-02T01:15:16.959Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-02T01:15:21.797Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-02T01:15:27.674Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-02T01:15:27.997Z] 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.
[2025-10-02T01:15:27.997Z] The best model improves the baseline by 14.52%.
[2025-10-02T01:15:28.698Z] Top recommended movies for user id 72:
[2025-10-02T01:15:28.698Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-02T01:15:28.698Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-02T01:15:28.698Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-02T01:15:28.698Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-02T01:15:28.698Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-02T01:15:28.698Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (59163.584 ms) ======
[2025-10-02T01:15:28.698Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-10-02T01:15:29.402Z] GC before operation: completed in 737.216 ms, heap usage 380.847 MB -> 90.671 MB.
[2025-10-02T01:15:38.318Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-02T01:15:49.096Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-02T01:15:56.325Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-02T01:16:03.557Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-02T01:16:08.280Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-02T01:16:13.300Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-02T01:16:18.030Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-02T01:16:22.766Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-02T01:16:23.469Z] 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.
[2025-10-02T01:16:23.797Z] The best model improves the baseline by 14.52%.
[2025-10-02T01:16:24.502Z] Top recommended movies for user id 72:
[2025-10-02T01:16:24.502Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-02T01:16:24.502Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-02T01:16:24.502Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-02T01:16:24.502Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-02T01:16:24.502Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-02T01:16:24.502Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (54779.437 ms) ======
[2025-10-02T01:16:24.502Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-10-02T01:16:25.210Z] GC before operation: completed in 791.639 ms, heap usage 259.403 MB -> 90.735 MB.
[2025-10-02T01:16:34.066Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-02T01:16:42.931Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-02T01:16:51.773Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-02T01:16:59.000Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-02T01:17:03.765Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-02T01:17:08.649Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-02T01:17:14.522Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-02T01:17:19.263Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-02T01:17:19.963Z] 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.
[2025-10-02T01:17:19.963Z] The best model improves the baseline by 14.52%.
[2025-10-02T01:17:20.663Z] Top recommended movies for user id 72:
[2025-10-02T01:17:20.663Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-02T01:17:20.663Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-02T01:17:20.663Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-02T01:17:20.663Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-02T01:17:20.663Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-02T01:17:20.663Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (55583.170 ms) ======
[2025-10-02T01:17:20.663Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-10-02T01:17:21.379Z] GC before operation: completed in 765.328 ms, heap usage 647.829 MB -> 94.293 MB.
[2025-10-02T01:17:30.236Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-02T01:17:39.091Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-02T01:17:46.310Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-02T01:17:55.153Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-02T01:17:58.927Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-02T01:18:03.844Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-02T01:18:09.707Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-02T01:18:13.453Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-02T01:18:14.588Z] 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.
[2025-10-02T01:18:14.588Z] The best model improves the baseline by 14.52%.
[2025-10-02T01:18:15.287Z] Top recommended movies for user id 72:
[2025-10-02T01:18:15.287Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-02T01:18:15.287Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-02T01:18:15.287Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-02T01:18:15.287Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-02T01:18:15.287Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-02T01:18:15.287Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (53732.735 ms) ======
[2025-10-02T01:18:15.287Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-10-02T01:18:16.011Z] GC before operation: completed in 777.363 ms, heap usage 649.743 MB -> 94.387 MB.
[2025-10-02T01:18:26.788Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-02T01:18:34.033Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-02T01:18:41.260Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-02T01:18:50.220Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-02T01:18:53.992Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-02T01:18:58.722Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-02T01:19:04.585Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-02T01:19:09.320Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-02T01:19:09.645Z] 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.
[2025-10-02T01:19:09.645Z] The best model improves the baseline by 14.52%.
[2025-10-02T01:19:10.354Z] Top recommended movies for user id 72:
[2025-10-02T01:19:10.354Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-02T01:19:10.354Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-02T01:19:10.354Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-02T01:19:10.354Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-02T01:19:10.354Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-02T01:19:10.354Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (54472.647 ms) ======
[2025-10-02T01:19:10.354Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-10-02T01:19:11.515Z] GC before operation: completed in 770.608 ms, heap usage 304.020 MB -> 90.596 MB.
[2025-10-02T01:19:20.362Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-02T01:19:27.580Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-02T01:19:36.420Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-02T01:19:45.312Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-02T01:19:50.028Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-02T01:19:54.748Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-02T01:19:59.482Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-02T01:20:04.204Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-02T01:20:04.902Z] 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.
[2025-10-02T01:20:05.228Z] The best model improves the baseline by 14.52%.
[2025-10-02T01:20:05.937Z] Top recommended movies for user id 72:
[2025-10-02T01:20:05.937Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-02T01:20:05.937Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-02T01:20:05.937Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-02T01:20:05.937Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-02T01:20:05.937Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-02T01:20:05.937Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (54598.361 ms) ======
[2025-10-02T01:20:05.937Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-10-02T01:20:06.650Z] GC before operation: completed in 770.580 ms, heap usage 248.809 MB -> 90.469 MB.
[2025-10-02T01:20:15.511Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-02T01:20:22.747Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-02T01:20:31.918Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-02T01:20:39.151Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-02T01:20:43.900Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-02T01:20:48.625Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-02T01:20:53.350Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-02T01:20:59.235Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-02T01:20:59.939Z] 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.
[2025-10-02T01:20:59.939Z] The best model improves the baseline by 14.52%.
[2025-10-02T01:21:00.647Z] Top recommended movies for user id 72:
[2025-10-02T01:21:00.647Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-02T01:21:00.647Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-02T01:21:00.647Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-02T01:21:00.647Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-02T01:21:00.648Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-02T01:21:00.648Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (53974.414 ms) ======
[2025-10-02T01:21:04.408Z] -----------------------------------
[2025-10-02T01:21:04.408Z] renaissance-movie-lens_0_PASSED
[2025-10-02T01:21:04.408Z] -----------------------------------
[2025-10-02T01:21:04.408Z]
[2025-10-02T01:21:04.408Z] TEST TEARDOWN:
[2025-10-02T01:21:04.408Z] Nothing to be done for teardown.
[2025-10-02T01:21:04.408Z] renaissance-movie-lens_0 Finish Time: Thu Oct 2 01:21:03 2025 Epoch Time (ms): 1759368063998