[2025-10-02T13:21:30.178Z] Running test renaissance-movie-lens_0 ... [2025-10-02T13:21:30.178Z] =============================================== [2025-10-02T13:21:30.178Z] renaissance-movie-lens_0 Start Time: Thu Oct 2 13:21:29 2025 Epoch Time (ms): 1759411289921 [2025-10-02T13:21:30.178Z] variation: NoOptions [2025-10-02T13:21:30.178Z] JVM_OPTIONS: [2025-10-02T13:21:30.178Z] { \ [2025-10-02T13:21:30.178Z] echo ""; echo "TEST SETUP:"; \ [2025-10-02T13:21:30.178Z] echo "Nothing to be done for setup."; \ [2025-10-02T13:21:30.178Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_0/aqa-tests/TKG/../TKG/output_17594107963161/renaissance-movie-lens_0"; \ [2025-10-02T13:21:30.178Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_0/aqa-tests/TKG/../TKG/output_17594107963161/renaissance-movie-lens_0"; \ [2025-10-02T13:21:30.178Z] echo ""; echo "TESTING:"; \ [2025-10-02T13:21:30.178Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_0/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_x86-64_alpine-linux_testList_0/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_0/aqa-tests/TKG/../TKG/output_17594107963161/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-10-02T13:21:30.178Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_0/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_0/aqa-tests/TKG/../TKG/output_17594107963161/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-10-02T13:21:30.178Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-10-02T13:21:30.178Z] echo "Nothing to be done for teardown."; \ [2025-10-02T13:21:30.178Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_0/aqa-tests/TKG/../TKG/output_17594107963161/TestTargetResult"; [2025-10-02T13:21:30.178Z] [2025-10-02T13:21:30.178Z] TEST SETUP: [2025-10-02T13:21:30.178Z] Nothing to be done for setup. [2025-10-02T13:21:30.178Z] [2025-10-02T13:21:30.178Z] TESTING: [2025-10-02T13:21:35.654Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-10-02T13:21:42.372Z] 13:21:41.888 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. [2025-10-02T13:21:44.779Z] Got 100004 ratings from 671 users on 9066 movies. [2025-10-02T13:21:44.779Z] Training: 60056, validation: 20285, test: 19854 [2025-10-02T13:21:44.779Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-10-02T13:21:45.525Z] GC before operation: completed in 119.669 ms, heap usage 297.851 MB -> 76.042 MB. [2025-10-02T13:21:52.252Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T13:21:57.724Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T13:22:01.065Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T13:22:04.400Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T13:22:05.657Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T13:22:08.050Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T13:22:09.593Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T13:22:11.143Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T13:22:11.143Z] 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. [2025-10-02T13:22:11.143Z] The best model improves the baseline by 14.52%. [2025-10-02T13:22:11.888Z] Top recommended movies for user id 72: [2025-10-02T13:22:11.888Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T13:22:11.888Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T13:22:11.888Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T13:22:11.888Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T13:22:11.888Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T13:22:11.888Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (26453.683 ms) ====== [2025-10-02T13:22:11.888Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-10-02T13:22:11.888Z] GC before operation: completed in 121.337 ms, heap usage 369.624 MB -> 88.135 MB. [2025-10-02T13:22:15.226Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T13:22:17.635Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T13:22:20.972Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T13:22:23.384Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T13:22:25.785Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T13:22:27.330Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T13:22:28.889Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T13:22:30.442Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T13:22:31.193Z] 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. [2025-10-02T13:22:31.193Z] The best model improves the baseline by 14.52%. [2025-10-02T13:22:31.193Z] Top recommended movies for user id 72: [2025-10-02T13:22:31.193Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T13:22:31.193Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T13:22:31.193Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T13:22:31.193Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T13:22:31.193Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T13:22:31.193Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (19231.335 ms) ====== [2025-10-02T13:22:31.193Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-10-02T13:22:31.193Z] GC before operation: completed in 117.255 ms, heap usage 433.734 MB -> 89.178 MB. [2025-10-02T13:22:33.648Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T13:22:36.979Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T13:22:39.383Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T13:22:41.791Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T13:22:43.335Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T13:22:44.884Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T13:22:46.432Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T13:22:48.201Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T13:22:48.201Z] 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. [2025-10-02T13:22:48.201Z] The best model improves the baseline by 14.52%. [2025-10-02T13:22:48.201Z] Top recommended movies for user id 72: [2025-10-02T13:22:48.201Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T13:22:48.201Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T13:22:48.201Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T13:22:48.201Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T13:22:48.201Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T13:22:48.201Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (17044.171 ms) ====== [2025-10-02T13:22:48.201Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-10-02T13:22:48.201Z] GC before operation: completed in 118.851 ms, heap usage 194.174 MB -> 89.513 MB. [2025-10-02T13:22:50.606Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T13:22:53.001Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T13:22:56.335Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T13:22:57.882Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T13:22:59.429Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T13:23:01.830Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T13:23:03.374Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T13:23:04.920Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T13:23:04.920Z] 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. [2025-10-02T13:23:04.920Z] The best model improves the baseline by 14.52%. [2025-10-02T13:23:04.920Z] Top recommended movies for user id 72: [2025-10-02T13:23:04.920Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T13:23:04.920Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T13:23:04.920Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T13:23:04.920Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T13:23:04.920Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T13:23:04.920Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16557.816 ms) ====== [2025-10-02T13:23:04.920Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-10-02T13:23:04.920Z] GC before operation: completed in 133.225 ms, heap usage 455.207 MB -> 90.118 MB. [2025-10-02T13:23:08.240Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T13:23:10.655Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T13:23:13.051Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T13:23:15.457Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T13:23:17.002Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T13:23:18.669Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T13:23:20.225Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T13:23:21.776Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T13:23:22.523Z] 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. [2025-10-02T13:23:22.523Z] The best model improves the baseline by 14.52%. [2025-10-02T13:23:22.523Z] Top recommended movies for user id 72: [2025-10-02T13:23:22.523Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T13:23:22.523Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T13:23:22.523Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T13:23:22.523Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T13:23:22.523Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T13:23:22.523Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (17495.566 ms) ====== [2025-10-02T13:23:22.523Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-10-02T13:23:22.523Z] GC before operation: completed in 119.842 ms, heap usage 549.667 MB -> 93.393 MB. [2025-10-02T13:23:24.938Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T13:23:27.345Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T13:23:30.247Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T13:23:32.655Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T13:23:34.194Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T13:23:35.742Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T13:23:37.285Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T13:23:38.837Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T13:23:38.837Z] 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. [2025-10-02T13:23:38.837Z] The best model improves the baseline by 14.52%. [2025-10-02T13:23:38.837Z] Top recommended movies for user id 72: [2025-10-02T13:23:38.837Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T13:23:38.837Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T13:23:38.837Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T13:23:38.837Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T13:23:38.837Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T13:23:38.837Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (16485.059 ms) ====== [2025-10-02T13:23:38.837Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-10-02T13:23:39.586Z] GC before operation: completed in 116.217 ms, heap usage 360.971 MB -> 90.384 MB. [2025-10-02T13:23:41.984Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T13:23:44.386Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T13:23:46.789Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T13:23:49.186Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T13:23:50.729Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T13:23:52.270Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T13:23:53.812Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T13:23:54.554Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T13:23:55.302Z] 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. [2025-10-02T13:23:55.302Z] The best model improves the baseline by 14.52%. [2025-10-02T13:23:55.302Z] Top recommended movies for user id 72: [2025-10-02T13:23:55.302Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T13:23:55.302Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T13:23:55.302Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T13:23:55.302Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T13:23:55.302Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T13:23:55.302Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (16059.944 ms) ====== [2025-10-02T13:23:55.302Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-10-02T13:23:55.302Z] GC before operation: completed in 119.361 ms, heap usage 123.397 MB -> 90.796 MB. [2025-10-02T13:23:57.715Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T13:24:00.130Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T13:24:02.538Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T13:24:04.940Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T13:24:06.492Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T13:24:08.034Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T13:24:09.580Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T13:24:11.125Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T13:24:11.125Z] 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. [2025-10-02T13:24:11.125Z] The best model improves the baseline by 14.52%. [2025-10-02T13:24:11.125Z] Top recommended movies for user id 72: [2025-10-02T13:24:11.125Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T13:24:11.125Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T13:24:11.125Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T13:24:11.125Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T13:24:11.125Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T13:24:11.125Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15958.880 ms) ====== [2025-10-02T13:24:11.125Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-10-02T13:24:11.125Z] GC before operation: completed in 114.839 ms, heap usage 189.225 MB -> 90.272 MB. [2025-10-02T13:24:14.021Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T13:24:16.426Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T13:24:18.831Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T13:24:20.378Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T13:24:22.023Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T13:24:23.574Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T13:24:25.120Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T13:24:25.866Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T13:24:26.611Z] 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. [2025-10-02T13:24:26.611Z] The best model improves the baseline by 14.52%. [2025-10-02T13:24:26.611Z] Top recommended movies for user id 72: [2025-10-02T13:24:26.611Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T13:24:26.611Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T13:24:26.611Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T13:24:26.611Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T13:24:26.611Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T13:24:26.611Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15131.667 ms) ====== [2025-10-02T13:24:26.611Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-10-02T13:24:26.611Z] GC before operation: completed in 110.832 ms, heap usage 183.716 MB -> 90.055 MB. [2025-10-02T13:24:29.015Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T13:24:31.423Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T13:24:34.761Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T13:24:36.311Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T13:24:37.858Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T13:24:39.401Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T13:24:40.943Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T13:24:42.486Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T13:24:42.486Z] 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. [2025-10-02T13:24:42.486Z] The best model improves the baseline by 14.52%. [2025-10-02T13:24:42.486Z] Top recommended movies for user id 72: [2025-10-02T13:24:42.486Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T13:24:42.486Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T13:24:42.486Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T13:24:42.486Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T13:24:42.486Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T13:24:42.486Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (16092.523 ms) ====== [2025-10-02T13:24:42.486Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-10-02T13:24:43.238Z] GC before operation: completed in 114.581 ms, heap usage 292.499 MB -> 90.426 MB. [2025-10-02T13:24:45.643Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T13:24:48.053Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T13:24:50.468Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T13:24:52.059Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T13:24:54.107Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T13:24:54.855Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T13:24:56.411Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T13:24:57.962Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T13:24:57.962Z] 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. [2025-10-02T13:24:57.962Z] The best model improves the baseline by 14.52%. [2025-10-02T13:24:57.962Z] Top recommended movies for user id 72: [2025-10-02T13:24:57.962Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T13:24:57.962Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T13:24:57.962Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T13:24:57.962Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T13:24:57.962Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T13:24:57.962Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15170.956 ms) ====== [2025-10-02T13:24:57.962Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-10-02T13:24:57.962Z] GC before operation: completed in 118.459 ms, heap usage 362.230 MB -> 92.077 MB. [2025-10-02T13:25:00.368Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T13:25:02.773Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T13:25:05.185Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T13:25:07.581Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T13:25:08.337Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T13:25:09.885Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T13:25:11.442Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T13:25:12.994Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T13:25:12.994Z] 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. [2025-10-02T13:25:12.994Z] The best model improves the baseline by 14.52%. [2025-10-02T13:25:13.741Z] Top recommended movies for user id 72: [2025-10-02T13:25:13.741Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T13:25:13.741Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T13:25:13.741Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T13:25:13.741Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T13:25:13.741Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T13:25:13.741Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15206.099 ms) ====== [2025-10-02T13:25:13.741Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-10-02T13:25:13.741Z] GC before operation: completed in 111.563 ms, heap usage 292.096 MB -> 90.357 MB. [2025-10-02T13:25:16.142Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T13:25:18.547Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T13:25:20.959Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T13:25:23.365Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T13:25:24.913Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T13:25:26.455Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T13:25:27.998Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T13:25:29.550Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T13:25:29.550Z] 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. [2025-10-02T13:25:29.550Z] The best model improves the baseline by 14.52%. [2025-10-02T13:25:29.550Z] Top recommended movies for user id 72: [2025-10-02T13:25:29.550Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T13:25:29.550Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T13:25:29.550Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T13:25:29.550Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T13:25:29.550Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T13:25:29.550Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (16042.027 ms) ====== [2025-10-02T13:25:29.550Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-10-02T13:25:29.550Z] GC before operation: completed in 131.998 ms, heap usage 553.024 MB -> 94.102 MB. [2025-10-02T13:25:31.961Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T13:25:34.369Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T13:25:37.036Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T13:25:38.593Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T13:25:40.134Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T13:25:41.676Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T13:25:43.222Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T13:25:43.971Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T13:25:44.716Z] 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. [2025-10-02T13:25:44.716Z] The best model improves the baseline by 14.52%. [2025-10-02T13:25:44.716Z] Top recommended movies for user id 72: [2025-10-02T13:25:44.716Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T13:25:44.716Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T13:25:44.716Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T13:25:44.716Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T13:25:44.716Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T13:25:44.716Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14914.594 ms) ====== [2025-10-02T13:25:44.716Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-10-02T13:25:44.716Z] GC before operation: completed in 121.481 ms, heap usage 297.254 MB -> 90.265 MB. [2025-10-02T13:25:47.156Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T13:25:49.564Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T13:25:51.963Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T13:25:54.361Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T13:25:55.910Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T13:25:57.455Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T13:25:59.005Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T13:25:59.757Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T13:26:00.503Z] 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. [2025-10-02T13:26:00.503Z] The best model improves the baseline by 14.52%. [2025-10-02T13:26:00.503Z] Top recommended movies for user id 72: [2025-10-02T13:26:00.503Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T13:26:00.503Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T13:26:00.503Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T13:26:00.503Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T13:26:00.503Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T13:26:00.503Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15637.426 ms) ====== [2025-10-02T13:26:00.503Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-10-02T13:26:00.503Z] GC before operation: completed in 117.604 ms, heap usage 104.010 MB -> 93.909 MB. [2025-10-02T13:26:02.911Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T13:26:05.332Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T13:26:07.727Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T13:26:09.274Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T13:26:10.825Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T13:26:12.372Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T13:26:13.915Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T13:26:15.466Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T13:26:15.466Z] 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. [2025-10-02T13:26:15.466Z] The best model improves the baseline by 14.52%. [2025-10-02T13:26:15.466Z] Top recommended movies for user id 72: [2025-10-02T13:26:15.466Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T13:26:15.466Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T13:26:15.466Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T13:26:15.466Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T13:26:15.466Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T13:26:15.466Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14960.885 ms) ====== [2025-10-02T13:26:15.466Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-10-02T13:26:15.466Z] GC before operation: completed in 118.952 ms, heap usage 427.387 MB -> 92.340 MB. [2025-10-02T13:26:17.871Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T13:26:19.915Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T13:26:22.315Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T13:26:24.728Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T13:26:26.270Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T13:26:27.814Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T13:26:29.360Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T13:26:30.108Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T13:26:30.855Z] 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. [2025-10-02T13:26:30.855Z] The best model improves the baseline by 14.52%. [2025-10-02T13:26:30.855Z] Top recommended movies for user id 72: [2025-10-02T13:26:30.855Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T13:26:30.855Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T13:26:30.855Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T13:26:30.855Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T13:26:30.855Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T13:26:30.855Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15220.882 ms) ====== [2025-10-02T13:26:30.855Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-10-02T13:26:30.855Z] GC before operation: completed in 116.723 ms, heap usage 375.010 MB -> 90.575 MB. [2025-10-02T13:26:33.261Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T13:26:35.671Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T13:26:38.080Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T13:26:40.482Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T13:26:42.024Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T13:26:43.569Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T13:26:45.111Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T13:26:46.663Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T13:26:46.663Z] 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. [2025-10-02T13:26:46.663Z] The best model improves the baseline by 14.52%. [2025-10-02T13:26:46.663Z] Top recommended movies for user id 72: [2025-10-02T13:26:46.663Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T13:26:46.663Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T13:26:46.663Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T13:26:46.663Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T13:26:46.663Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T13:26:46.663Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15738.396 ms) ====== [2025-10-02T13:26:46.663Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-10-02T13:26:46.663Z] GC before operation: completed in 114.734 ms, heap usage 109.027 MB -> 91.420 MB. [2025-10-02T13:26:49.063Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T13:26:51.469Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T13:26:53.869Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T13:26:56.264Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T13:26:57.807Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T13:26:59.853Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T13:27:01.402Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T13:27:02.150Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T13:27:02.894Z] 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. [2025-10-02T13:27:02.894Z] The best model improves the baseline by 14.52%. [2025-10-02T13:27:02.894Z] Top recommended movies for user id 72: [2025-10-02T13:27:02.894Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T13:27:02.894Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T13:27:02.894Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T13:27:02.894Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T13:27:02.894Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T13:27:02.894Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (16099.466 ms) ====== [2025-10-02T13:27:02.894Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-10-02T13:27:02.894Z] GC before operation: completed in 118.448 ms, heap usage 402.386 MB -> 90.464 MB. [2025-10-02T13:27:05.295Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T13:27:07.702Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T13:27:10.107Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T13:27:12.523Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T13:27:13.275Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T13:27:14.826Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T13:27:16.376Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T13:27:17.927Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T13:27:17.927Z] 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. [2025-10-02T13:27:17.927Z] The best model improves the baseline by 14.52%. [2025-10-02T13:27:17.927Z] Top recommended movies for user id 72: [2025-10-02T13:27:17.927Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T13:27:17.927Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T13:27:17.927Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T13:27:17.927Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T13:27:17.927Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T13:27:17.927Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (15046.951 ms) ====== [2025-10-02T13:27:18.687Z] ----------------------------------- [2025-10-02T13:27:18.687Z] renaissance-movie-lens_0_PASSED [2025-10-02T13:27:18.687Z] ----------------------------------- [2025-10-02T13:27:18.687Z] [2025-10-02T13:27:18.687Z] TEST TEARDOWN: [2025-10-02T13:27:18.687Z] Nothing to be done for teardown. [2025-10-02T13:27:18.687Z] renaissance-movie-lens_0 Finish Time: Thu Oct 2 13:27:18 2025 Epoch Time (ms): 1759411638058