Task
Supervised Classification on fishcatch

Supervised Classification on fishcatch

Task 4424 Supervised Classification fishcatch 209 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.9485, kappa: 0.8941, kb_relative_information_score: 1317.5102, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.9541, predictive_accuracy: 0.9481, prior_entropy: 0.971, recall: 0.9481, relative_absolute_error: 0.1817, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.4436, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9641, kappa: 0.9256, kb_relative_information_score: 1396.2091, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.9656, predictive_accuracy: 0.9639, prior_entropy: 0.971, recall: 0.9639, relative_absolute_error: 0.1264, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.3459, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.954, kappa: 0.9044, kb_relative_information_score: 1407.8981, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.9549, predictive_accuracy: 0.9538, prior_entropy: 0.971, recall: 0.9538, relative_absolute_error: 0.1103, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.4045, scimark_benchmark: 934.3687, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.9467, kappa: 0.8885, kb_relative_information_score: 1400.6737, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.9469, predictive_accuracy: 0.9468, prior_entropy: 0.971, recall: 0.9468, relative_absolute_error: 0.1108, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.4709, scimark_benchmark: 931.771, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.9467, kappa: 0.8885, kb_relative_information_score: 1400.6737, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.9469, predictive_accuracy: 0.9468, prior_entropy: 0.971, recall: 0.9468, relative_absolute_error: 0.1108, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.4709, scimark_benchmark: 944.1067, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9378, kappa: 0.872, kb_relative_information_score: 1324.5041, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.943, predictive_accuracy: 0.9373, prior_entropy: 0.971, recall: 0.9373, relative_absolute_error: 0.1644, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.4709, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9434, kappa: 0.8831, kb_relative_information_score: 1332.3522, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.9467, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1658, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1972, root_relative_squared_error: 0.4028, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9678, kappa: 0.9332, kb_relative_information_score: 1367.4119, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.9687, predictive_accuracy: 0.9677, prior_entropy: 0.971, recall: 0.9677, relative_absolute_error: 0.152, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1535, root_relative_squared_error: 0.3134, scimark_benchmark: 934.2976, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.9544, kappa: 0.905, kb_relative_information_score: 1410.9044, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.9545, predictive_accuracy: 0.9544, prior_entropy: 0.971, recall: 0.9544, relative_absolute_error: 0.1083, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.4274, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.9467, kappa: 0.8885, kb_relative_information_score: 1400.6737, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.9469, predictive_accuracy: 0.9468, prior_entropy: 0.971, recall: 0.9468, relative_absolute_error: 0.1108, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.4709, scimark_benchmark: 937.5117, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.9467, kappa: 0.8885, kb_relative_information_score: 1400.6737, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.9469, predictive_accuracy: 0.9468, prior_entropy: 0.971, recall: 0.9468, relative_absolute_error: 0.1108, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.4709, scimark_benchmark: 974.2014, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9571, kappa: 0.9109, kb_relative_information_score: 1406.3097, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.9579, predictive_accuracy: 0.957, prior_entropy: 0.971, recall: 0.957, relative_absolute_error: 0.1135, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.3449, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.9485, kappa: 0.8941, kb_relative_information_score: 1317.5102, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.9541, predictive_accuracy: 0.9481, prior_entropy: 0.971, recall: 0.9481, relative_absolute_error: 0.1817, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.4436, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9641, kappa: 0.9256, kb_relative_information_score: 1396.2091, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.9656, predictive_accuracy: 0.9639, prior_entropy: 0.971, recall: 0.9639, relative_absolute_error: 0.1264, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.3459, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.954, kappa: 0.9044, kb_relative_information_score: 1407.8981, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.9549, predictive_accuracy: 0.9538, prior_entropy: 0.971, recall: 0.9538, relative_absolute_error: 0.1103, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.4045, scimark_benchmark: 936.2574, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.9467, kappa: 0.8885, kb_relative_information_score: 1400.6737, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.9469, predictive_accuracy: 0.9468, prior_entropy: 0.971, recall: 0.9468, relative_absolute_error: 0.1108, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.4709, scimark_benchmark: 926.5462, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 1383.9776, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2385, root_relative_squared_error: 0.487, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9378, kappa: 0.872, kb_relative_information_score: 1324.5041, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.943, predictive_accuracy: 0.9373, prior_entropy: 0.971, recall: 0.9373, relative_absolute_error: 0.1644, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.4709, scimark_benchmark: 933.3455, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9434, kappa: 0.8831, kb_relative_information_score: 1332.3522, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.9467, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1658, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1972, root_relative_squared_error: 0.4028, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9678, kappa: 0.9332, kb_relative_information_score: 1367.4119, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.9687, predictive_accuracy: 0.9677, prior_entropy: 0.971, recall: 0.9677, relative_absolute_error: 0.152, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1535, root_relative_squared_error: 0.3134, scimark_benchmark: 938.4601, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9378, kappa: 0.872, kb_relative_information_score: 1324.5041, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.943, predictive_accuracy: 0.9373, prior_entropy: 0.971, recall: 0.9373, relative_absolute_error: 0.1644, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.4709, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.9544, kappa: 0.905, kb_relative_information_score: 1410.9044, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.9545, predictive_accuracy: 0.9544, prior_entropy: 0.971, recall: 0.9544, relative_absolute_error: 0.1083, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.4274, scimark_benchmark: 730.6551, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9571, kappa: 0.9109, kb_relative_information_score: 1406.3097, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.9579, predictive_accuracy: 0.957, prior_entropy: 0.971, recall: 0.957, relative_absolute_error: 0.1135, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.3449, scimark_benchmark: 945.6228, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9684, kappa: 0.9344, kb_relative_information_score: 1427.5236, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.9688, predictive_accuracy: 0.9684, prior_entropy: 0.971, recall: 0.9684, relative_absolute_error: 0.1039, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.2983, scimark_benchmark: 935.5664, usercpu_time_millis: 750, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9697, kappa: 0.9369, kb_relative_information_score: 1426.1444, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.97, predictive_accuracy: 0.9696, prior_entropy: 0.971, recall: 0.9696, relative_absolute_error: 0.105, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.2987, scimark_benchmark: 906.5979, usercpu_time_millis: 290, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9684, kappa: 0.9344, kb_relative_information_score: 1425.3937, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.9688, predictive_accuracy: 0.9684, prior_entropy: 0.971, recall: 0.9684, relative_absolute_error: 0.1049, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1479, root_relative_squared_error: 0.3021, scimark_benchmark: 905.3417, usercpu_time_millis: 150, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9646, kappa: 0.9264, kb_relative_information_score: 1427.6607, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.965, predictive_accuracy: 0.9646, prior_entropy: 0.971, recall: 0.9646, relative_absolute_error: 0.1024, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1475, root_relative_squared_error: 0.3012, scimark_benchmark: 931.6751, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.969, kappa: 0.9356, kb_relative_information_score: 1429.002, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.9693, predictive_accuracy: 0.969, prior_entropy: 0.971, recall: 0.969, relative_absolute_error: 0.1018, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.3088, scimark_benchmark: 920.3788, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9535, kappa: 0.9041, kb_relative_information_score: 1391.9181, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.9574, predictive_accuracy: 0.9532, prior_entropy: 0.971, recall: 0.9532, relative_absolute_error: 0.1194, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.3905, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9535, kappa: 0.9041, kb_relative_information_score: 1391.9181, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.9574, predictive_accuracy: 0.9532, prior_entropy: 0.971, recall: 0.9532, relative_absolute_error: 0.1194, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.3905, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9535, kappa: 0.9041, kb_relative_information_score: 1391.9181, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.9574, predictive_accuracy: 0.9532, prior_entropy: 0.971, recall: 0.9532, relative_absolute_error: 0.1194, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.3905, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9535, kappa: 0.9041, kb_relative_information_score: 1391.9181, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.9574, predictive_accuracy: 0.9532, prior_entropy: 0.971, recall: 0.9532, relative_absolute_error: 0.1194, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.3905, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9529, kappa: 0.9028, kb_relative_information_score: 1390.8529, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.9569, predictive_accuracy: 0.9525, prior_entropy: 0.971, recall: 0.9525, relative_absolute_error: 0.12, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.192, root_relative_squared_error: 0.3922, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4704, f_measure: 0.4515, kb_relative_information_score: -1.4397, mean_absolute_error: 0.4799, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.3615, predictive_accuracy: 0.6013, prior_entropy: 0.971, recall: 0.6013, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.4898, root_relative_squared_error: 1.0004, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.959, kappa: 0.9149, kb_relative_information_score: 1442.4286, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.9598, predictive_accuracy: 0.9589, prior_entropy: 0.971, recall: 0.9589, relative_absolute_error: 0.0848, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.4077, scimark_benchmark: 936.1714, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9596, kappa: 0.9162, kb_relative_information_score: 1441.0707, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.9604, predictive_accuracy: 0.9595, prior_entropy: 0.971, recall: 0.9595, relative_absolute_error: 0.0856, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.4053, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9572, kappa: 0.9113, kb_relative_information_score: 1436.5691, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.9591, predictive_accuracy: 0.957, prior_entropy: 0.971, recall: 0.957, relative_absolute_error: 0.0885, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.197, root_relative_squared_error: 0.4023, scimark_benchmark: 938.3115, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9522, kappa: 0.9014, kb_relative_information_score: 1418.7218, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.9559, predictive_accuracy: 0.9519, prior_entropy: 0.971, recall: 0.9519, relative_absolute_error: 0.1, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.4271, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9571, kappa: 0.9109, kb_relative_information_score: 1406.3097, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.9579, predictive_accuracy: 0.957, prior_entropy: 0.971, recall: 0.957, relative_absolute_error: 0.1135, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.3449, scimark_benchmark: 1324.6442, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 1383.9776, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2385, root_relative_squared_error: 0.487, scimark_benchmark: 1322.3407,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9434, kappa: 0.8831, kb_relative_information_score: 1332.3522, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.9467, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1658, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1972, root_relative_squared_error: 0.4028, scimark_benchmark: 1342.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9678, kappa: 0.9332, kb_relative_information_score: 1367.4119, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.9687, predictive_accuracy: 0.9677, prior_entropy: 0.971, recall: 0.9677, relative_absolute_error: 0.152, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1535, root_relative_squared_error: 0.3134, scimark_benchmark: 1332.7986, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9378, kappa: 0.872, kb_relative_information_score: 1324.5041, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.943, predictive_accuracy: 0.9373, prior_entropy: 0.971, recall: 0.9373, relative_absolute_error: 0.1644, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.4709, scimark_benchmark: 1393.8432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.9544, kappa: 0.905, kb_relative_information_score: 1410.9044, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.9545, predictive_accuracy: 0.9544, prior_entropy: 0.971, recall: 0.9544, relative_absolute_error: 0.1083, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.4274, scimark_benchmark: 1332.1612, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9571, kappa: 0.9109, kb_relative_information_score: 1406.3097, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.9579, predictive_accuracy: 0.957, prior_entropy: 0.971, recall: 0.957, relative_absolute_error: 0.1135, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.3449, scimark_benchmark: 1338.1299, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9527, kappa: 0.9019, kb_relative_information_score: 1405.181, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.9538, predictive_accuracy: 0.9525, prior_entropy: 0.971, recall: 0.9525, relative_absolute_error: 0.1117, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1998, root_relative_squared_error: 0.408, scimark_benchmark: 1334.863, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.9434, kappa: 0.8834, kb_relative_information_score: 1383.9776, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.9476, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2385, root_relative_squared_error: 0.487, scimark_benchmark: 1337.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9378, kappa: 0.872, kb_relative_information_score: 1324.5041, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.943, predictive_accuracy: 0.9373, prior_entropy: 0.971, recall: 0.9373, relative_absolute_error: 0.1644, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.4709, scimark_benchmark: 1337.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9378, kappa: 0.872, kb_relative_information_score: 1324.5041, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.943, predictive_accuracy: 0.9373, prior_entropy: 0.971, recall: 0.9373, relative_absolute_error: 0.1644, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.4709, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9378, kappa: 0.872, kb_relative_information_score: 1324.5041, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.943, predictive_accuracy: 0.9373, prior_entropy: 0.971, recall: 0.9373, relative_absolute_error: 0.1644, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.4709, scimark_benchmark: 1374.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9378, kappa: 0.872, kb_relative_information_score: 1324.5041, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.943, predictive_accuracy: 0.9373, prior_entropy: 0.971, recall: 0.9373, relative_absolute_error: 0.1644, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.4709, scimark_benchmark: 1309.2287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.9544, kappa: 0.905, kb_relative_information_score: 1410.9044, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.9545, predictive_accuracy: 0.9544, prior_entropy: 0.971, recall: 0.9544, relative_absolute_error: 0.1083, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.4274, scimark_benchmark: 1315.9287, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9571, kappa: 0.9109, kb_relative_information_score: 1406.3097, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.9579, predictive_accuracy: 0.957, prior_entropy: 0.971, recall: 0.957, relative_absolute_error: 0.1135, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.3449, scimark_benchmark: 1332.6745, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9734, kappa: 0.9445, kb_relative_information_score: 1479.3251, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.9734, predictive_accuracy: 0.9734, prior_entropy: 0.971, recall: 0.9734, relative_absolute_error: 0.0639, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1253, root_relative_squared_error: 0.2559, scimark_benchmark: 1417.3093, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9527, kappa: 0.9019, kb_relative_information_score: 1405.181, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.9538, predictive_accuracy: 0.9525, prior_entropy: 0.971, recall: 0.9525, relative_absolute_error: 0.1117, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1998, root_relative_squared_error: 0.408, scimark_benchmark: 1346.0226, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9829, kappa: 0.9645, kb_relative_information_score: 1408.5233, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.4797, number_of_instances: 1580, precision: 0.9832, predictive_accuracy: 0.9829, prior_entropy: 0.971, recall: 0.9829, relative_absolute_error: 0.123, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1348, root_relative_squared_error: 0.2753, scimark_benchmark: 1367.3264, usercpu_time_millis: 40, usercpu_time_millis_training: 40,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs