[2026-02-26T16:25:30.854Z] Running test renaissance-movie-lens_0 ... [2026-02-26T16:25:30.854Z] =============================================== [2026-02-26T16:25:31.166Z] renaissance-movie-lens_0 Start Time: Thu Feb 26 16:25:30 2026 Epoch Time (ms): 1772123130907 [2026-02-26T16:25:31.166Z] variation: NoOptions [2026-02-26T16:25:31.166Z] JVM_OPTIONS: [2026-02-26T16:25:31.166Z] { \ [2026-02-26T16:25:31.166Z] echo ""; echo "TEST SETUP:"; \ [2026-02-26T16:25:31.166Z] echo "Nothing to be done for setup."; \ [2026-02-26T16:25:31.166Z] mkdir -p "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17721212249465\\renaissance-movie-lens_0"; \ [2026-02-26T16:25:31.166Z] cd "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17721212249465\\renaissance-movie-lens_0"; \ [2026-02-26T16:25:31.166Z] echo ""; echo "TESTING:"; \ [2026-02-26T16:25:31.166Z] "c:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/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 "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17721212249465\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2026-02-26T16:25:31.166Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17721212249465\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-26T16:25:31.166Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-26T16:25:31.166Z] echo "Nothing to be done for teardown."; \ [2026-02-26T16:25:31.166Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17721212249465\\TestTargetResult"; [2026-02-26T16:25:31.540Z] [2026-02-26T16:25:31.540Z] TEST SETUP: [2026-02-26T16:25:31.540Z] Nothing to be done for setup. [2026-02-26T16:25:31.540Z] [2026-02-26T16:25:31.540Z] TESTING: [2026-02-26T16:25:47.343Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-02-26T16:25:57.983Z] 16:25:56.619 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-02-26T16:26:01.184Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-26T16:26:02.199Z] Training: 60056, validation: 20285, test: 19854 [2026-02-26T16:26:02.199Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-26T16:26:02.199Z] GC before operation: completed in 224.200 ms, heap usage 301.845 MB -> 76.297 MB. [2026-02-26T16:26:17.388Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T16:26:27.428Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T16:26:36.865Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T16:26:44.150Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T16:26:47.926Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T16:26:51.694Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T16:26:55.494Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T16:26:59.300Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T16:27:00.080Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T16:27:00.080Z] The best model improves the baseline by 14.34%. [2026-02-26T16:27:00.725Z] Top recommended movies for user id 72: [2026-02-26T16:27:00.725Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T16:27:00.725Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T16:27:00.725Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T16:27:00.725Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T16:27:00.725Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T16:27:00.725Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (58080.471 ms) ====== [2026-02-26T16:27:00.725Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-26T16:27:01.090Z] GC before operation: completed in 300.171 ms, heap usage 127.774 MB -> 99.564 MB. [2026-02-26T16:27:10.080Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T16:27:14.807Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T16:27:22.067Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T16:27:29.259Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T16:27:32.180Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T16:27:36.918Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T16:27:40.703Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T16:27:44.446Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T16:27:44.778Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T16:27:45.218Z] The best model improves the baseline by 14.34%. [2026-02-26T16:27:45.218Z] Top recommended movies for user id 72: [2026-02-26T16:27:45.218Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T16:27:45.218Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T16:27:45.218Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T16:27:45.218Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T16:27:45.218Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T16:27:45.218Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (44555.120 ms) ====== [2026-02-26T16:27:45.218Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-26T16:27:45.656Z] GC before operation: completed in 288.550 ms, heap usage 181.419 MB -> 90.321 MB. [2026-02-26T16:27:52.858Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T16:27:58.739Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T16:28:05.947Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T16:28:11.737Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T16:28:15.416Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T16:28:19.271Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T16:28:23.080Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T16:28:26.991Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T16:28:27.349Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T16:28:27.349Z] The best model improves the baseline by 14.34%. [2026-02-26T16:28:27.856Z] Top recommended movies for user id 72: [2026-02-26T16:28:27.856Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T16:28:27.856Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T16:28:27.856Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T16:28:27.856Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T16:28:27.856Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T16:28:27.856Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (42036.659 ms) ====== [2026-02-26T16:28:27.856Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-26T16:28:27.856Z] GC before operation: completed in 212.541 ms, heap usage 228.173 MB -> 88.822 MB. [2026-02-26T16:28:35.058Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T16:28:41.021Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T16:28:46.853Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T16:28:54.162Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T16:28:57.192Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T16:29:00.288Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T16:29:04.023Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T16:29:07.866Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T16:29:08.322Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T16:29:08.771Z] The best model improves the baseline by 14.34%. [2026-02-26T16:29:08.771Z] Top recommended movies for user id 72: [2026-02-26T16:29:08.771Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T16:29:08.771Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T16:29:08.771Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T16:29:08.771Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T16:29:08.771Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T16:29:08.771Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (40930.358 ms) ====== [2026-02-26T16:29:08.771Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-26T16:29:09.478Z] GC before operation: completed in 243.707 ms, heap usage 233.585 MB -> 89.151 MB. [2026-02-26T16:29:16.731Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T16:29:22.763Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T16:29:28.710Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T16:29:35.992Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T16:29:38.938Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T16:29:42.733Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T16:29:46.441Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T16:29:49.328Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T16:29:50.191Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T16:29:50.191Z] The best model improves the baseline by 14.34%. [2026-02-26T16:29:50.191Z] Top recommended movies for user id 72: [2026-02-26T16:29:50.191Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T16:29:50.191Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T16:29:50.191Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T16:29:50.191Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T16:29:50.191Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T16:29:50.191Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (41254.463 ms) ====== [2026-02-26T16:29:50.191Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-26T16:29:50.539Z] GC before operation: completed in 196.726 ms, heap usage 246.784 MB -> 89.133 MB. [2026-02-26T16:29:57.698Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T16:30:03.550Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T16:30:10.824Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T16:30:16.665Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T16:30:20.382Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T16:30:23.275Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T16:30:27.983Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T16:30:31.656Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T16:30:31.656Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T16:30:31.656Z] The best model improves the baseline by 14.34%. [2026-02-26T16:30:32.247Z] Top recommended movies for user id 72: [2026-02-26T16:30:32.247Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T16:30:32.247Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T16:30:32.247Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T16:30:32.247Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T16:30:32.247Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T16:30:32.247Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (41595.876 ms) ====== [2026-02-26T16:30:32.247Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-26T16:30:32.587Z] GC before operation: completed in 229.271 ms, heap usage 184.364 MB -> 89.370 MB. [2026-02-26T16:30:38.389Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T16:30:45.533Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T16:30:51.746Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T16:30:59.488Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T16:31:03.398Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T16:31:07.138Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T16:31:13.366Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T16:31:17.254Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T16:31:17.254Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T16:31:17.254Z] The best model improves the baseline by 14.34%. [2026-02-26T16:31:17.897Z] Top recommended movies for user id 72: [2026-02-26T16:31:17.897Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T16:31:17.897Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T16:31:17.897Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T16:31:17.897Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T16:31:17.897Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T16:31:17.897Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (45406.193 ms) ====== [2026-02-26T16:31:17.897Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-26T16:31:18.274Z] GC before operation: completed in 167.064 ms, heap usage 289.437 MB -> 89.515 MB. [2026-02-26T16:31:25.648Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T16:31:31.889Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T16:31:39.232Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T16:31:46.698Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T16:31:52.349Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T16:31:55.226Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T16:31:59.989Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T16:32:03.918Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T16:32:03.919Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T16:32:03.919Z] The best model improves the baseline by 14.34%. [2026-02-26T16:32:04.318Z] Top recommended movies for user id 72: [2026-02-26T16:32:04.318Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T16:32:04.318Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T16:32:04.318Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T16:32:04.318Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T16:32:04.318Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T16:32:04.318Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (46466.216 ms) ====== [2026-02-26T16:32:04.318Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-26T16:32:04.866Z] GC before operation: completed in 241.111 ms, heap usage 290.918 MB -> 89.727 MB. [2026-02-26T16:32:12.458Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T16:32:18.415Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T16:32:25.791Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T16:32:33.296Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T16:32:36.389Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T16:32:40.533Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T16:32:45.273Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T16:32:49.126Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T16:32:49.829Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T16:32:49.829Z] The best model improves the baseline by 14.34%. [2026-02-26T16:32:49.829Z] Top recommended movies for user id 72: [2026-02-26T16:32:49.829Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T16:32:49.829Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T16:32:49.829Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T16:32:49.829Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T16:32:49.829Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T16:32:49.829Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (45104.417 ms) ====== [2026-02-26T16:32:49.829Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-26T16:32:50.166Z] GC before operation: completed in 184.819 ms, heap usage 290.386 MB -> 89.648 MB. [2026-02-26T16:32:57.396Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T16:33:04.844Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T16:33:10.706Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T16:33:18.316Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T16:33:21.564Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T16:33:25.748Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T16:33:29.531Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T16:33:33.268Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T16:33:33.268Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T16:33:33.661Z] The best model improves the baseline by 14.34%. [2026-02-26T16:33:33.661Z] Top recommended movies for user id 72: [2026-02-26T16:33:33.661Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T16:33:33.661Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T16:33:33.661Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T16:33:33.661Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T16:33:33.661Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T16:33:33.661Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (43876.488 ms) ====== [2026-02-26T16:33:33.661Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-26T16:33:34.197Z] GC before operation: completed in 174.142 ms, heap usage 516.351 MB -> 93.274 MB. [2026-02-26T16:33:41.524Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T16:33:47.342Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T16:33:54.659Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T16:34:00.456Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T16:34:03.394Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T16:34:07.284Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T16:34:11.089Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T16:34:14.824Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T16:34:14.824Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T16:34:14.824Z] The best model improves the baseline by 14.34%. [2026-02-26T16:34:15.319Z] Top recommended movies for user id 72: [2026-02-26T16:34:15.319Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T16:34:15.319Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T16:34:15.319Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T16:34:15.319Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T16:34:15.319Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T16:34:15.319Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (41172.972 ms) ====== [2026-02-26T16:34:15.319Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-26T16:34:15.319Z] GC before operation: completed in 216.606 ms, heap usage 423.646 MB -> 89.705 MB. [2026-02-26T16:34:22.455Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T16:34:28.387Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T16:34:34.223Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T16:34:40.029Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T16:34:42.979Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T16:34:49.133Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T16:34:50.302Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T16:34:55.020Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T16:34:55.020Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T16:34:55.020Z] The best model improves the baseline by 14.34%. [2026-02-26T16:34:55.569Z] Top recommended movies for user id 72: [2026-02-26T16:34:55.569Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T16:34:55.569Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T16:34:55.569Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T16:34:55.569Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T16:34:55.569Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T16:34:55.569Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (40037.371 ms) ====== [2026-02-26T16:34:55.569Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-26T16:34:55.569Z] GC before operation: completed in 161.880 ms, heap usage 143.862 MB -> 89.587 MB. [2026-02-26T16:35:02.842Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T16:35:08.618Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T16:35:14.460Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T16:35:20.298Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T16:35:24.048Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T16:35:27.964Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T16:35:31.632Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T16:35:35.383Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T16:35:36.411Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T16:35:36.411Z] The best model improves the baseline by 14.34%. [2026-02-26T16:35:36.411Z] Top recommended movies for user id 72: [2026-02-26T16:35:36.411Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T16:35:36.411Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T16:35:36.411Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T16:35:36.411Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T16:35:36.411Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T16:35:36.411Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (40679.952 ms) ====== [2026-02-26T16:35:36.411Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-26T16:35:36.765Z] GC before operation: completed in 160.459 ms, heap usage 253.722 MB -> 89.852 MB. [2026-02-26T16:35:43.063Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T16:35:51.617Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T16:35:56.297Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T16:36:02.926Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T16:36:05.936Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T16:36:08.942Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T16:36:13.695Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T16:36:16.651Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T16:36:17.407Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T16:36:17.407Z] The best model improves the baseline by 14.34%. [2026-02-26T16:36:17.864Z] Top recommended movies for user id 72: [2026-02-26T16:36:17.864Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T16:36:17.864Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T16:36:17.864Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T16:36:17.864Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T16:36:17.864Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T16:36:17.864Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (41303.328 ms) ====== [2026-02-26T16:36:17.864Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-26T16:36:17.864Z] GC before operation: completed in 172.369 ms, heap usage 221.413 MB -> 89.534 MB. [2026-02-26T16:36:25.227Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T16:36:31.063Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T16:36:37.722Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T16:36:43.768Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T16:36:45.962Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T16:36:53.299Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T16:36:58.414Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T16:36:58.414Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T16:36:58.414Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T16:36:58.414Z] The best model improves the baseline by 14.34%. [2026-02-26T16:36:58.414Z] Top recommended movies for user id 72: [2026-02-26T16:36:58.414Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T16:36:58.414Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T16:36:58.414Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T16:36:58.414Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T16:36:58.414Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T16:36:58.414Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (39516.806 ms) ====== [2026-02-26T16:36:58.414Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-26T16:36:58.414Z] GC before operation: completed in 166.428 ms, heap usage 441.957 MB -> 90.178 MB. [2026-02-26T16:37:04.322Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T16:37:10.203Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T16:37:15.976Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T16:37:21.761Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T16:37:25.473Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T16:37:29.234Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T16:37:32.945Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T16:37:35.849Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T16:37:36.750Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T16:37:36.750Z] The best model improves the baseline by 14.34%. [2026-02-26T16:37:37.484Z] Top recommended movies for user id 72: [2026-02-26T16:37:37.484Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T16:37:37.484Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T16:37:37.484Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T16:37:37.484Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T16:37:37.484Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T16:37:37.484Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (39635.934 ms) ====== [2026-02-26T16:37:37.484Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-26T16:37:37.798Z] GC before operation: completed in 164.476 ms, heap usage 180.511 MB -> 89.530 MB. [2026-02-26T16:37:43.853Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T16:37:51.382Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T16:37:58.774Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T16:38:05.955Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T16:38:10.205Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T16:38:14.032Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T16:38:18.059Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T16:38:22.100Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T16:38:22.100Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T16:38:22.100Z] The best model improves the baseline by 14.34%. [2026-02-26T16:38:22.737Z] Top recommended movies for user id 72: [2026-02-26T16:38:22.737Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T16:38:22.737Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T16:38:22.737Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T16:38:22.737Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T16:38:22.737Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T16:38:22.737Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (45216.889 ms) ====== [2026-02-26T16:38:22.737Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-26T16:38:23.061Z] GC before operation: completed in 164.624 ms, heap usage 290.565 MB -> 89.817 MB. [2026-02-26T16:38:30.558Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T16:38:36.441Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T16:38:43.942Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T16:38:49.751Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T16:38:53.649Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T16:38:57.349Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T16:39:02.276Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T16:39:06.171Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T16:39:07.313Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T16:39:07.313Z] The best model improves the baseline by 14.34%. [2026-02-26T16:39:07.313Z] Top recommended movies for user id 72: [2026-02-26T16:39:07.314Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T16:39:07.314Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T16:39:07.314Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T16:39:07.314Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T16:39:07.314Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T16:39:07.314Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (44393.296 ms) ====== [2026-02-26T16:39:07.314Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-26T16:39:07.625Z] GC before operation: completed in 163.247 ms, heap usage 289.536 MB -> 89.625 MB. [2026-02-26T16:39:14.985Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T16:39:21.236Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T16:39:28.491Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T16:39:34.279Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T16:39:39.163Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T16:39:42.964Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T16:39:46.988Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T16:39:50.942Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T16:39:50.942Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T16:39:50.942Z] The best model improves the baseline by 14.34%. [2026-02-26T16:39:51.516Z] Top recommended movies for user id 72: [2026-02-26T16:39:51.516Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T16:39:51.516Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T16:39:51.516Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T16:39:51.516Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T16:39:51.516Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T16:39:51.516Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (44114.223 ms) ====== [2026-02-26T16:39:51.516Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-26T16:39:51.855Z] GC before operation: completed in 188.345 ms, heap usage 289.655 MB -> 89.748 MB. [2026-02-26T16:39:59.131Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T16:40:04.924Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T16:40:10.748Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T16:40:17.860Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T16:40:20.775Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T16:40:24.538Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T16:40:28.260Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T16:40:31.151Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T16:40:31.862Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-26T16:40:31.862Z] The best model improves the baseline by 14.34%. [2026-02-26T16:40:32.207Z] Top recommended movies for user id 72: [2026-02-26T16:40:32.207Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-26T16:40:32.207Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-26T16:40:32.207Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-26T16:40:32.207Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-26T16:40:32.207Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-26T16:40:32.207Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (40566.513 ms) ====== [2026-02-26T16:40:32.933Z] ----------------------------------- [2026-02-26T16:40:32.933Z] renaissance-movie-lens_0_PASSED [2026-02-26T16:40:32.933Z] ----------------------------------- [2026-02-26T16:40:33.260Z] [2026-02-26T16:40:33.260Z] TEST TEARDOWN: [2026-02-26T16:40:33.260Z] Nothing to be done for teardown. [2026-02-26T16:40:33.260Z] renaissance-movie-lens_0 Finish Time: Thu Feb 26 16:40:33 2026 Epoch Time (ms): 1772124033234