Task
Supervised Classification on autoPrice

Supervised Classification on autoPrice

Task 4327 Supervised Classification autoPrice 205 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, f_measure: 0.9567, kappa: 0.9037, kb_relative_information_score: 1380.8395, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9569, predictive_accuracy: 0.9566, prior_entropy: 0.9264, recall: 0.9566, relative_absolute_error: 0.1372, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.4289, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9704, kappa: 0.9338, kb_relative_information_score: 1443.2744, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9704, predictive_accuracy: 0.9704, prior_entropy: 0.9264, recall: 0.9704, relative_absolute_error: 0.0947, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1497, root_relative_squared_error: 0.316, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9634, kappa: 0.9183, kb_relative_information_score: 1442.2329, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9634, predictive_accuracy: 0.9635, prior_entropy: 0.9264, recall: 0.9635, relative_absolute_error: 0.0903, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1695, root_relative_squared_error: 0.3579, scimark_benchmark: 934.3687, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5537, f_measure: 0.603, kappa: 0.1371, kb_relative_information_score: 466.7498, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.7922, predictive_accuracy: 0.6969, prior_entropy: 0.9264, recall: 0.6969, relative_absolute_error: 0.6749, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.5506, root_relative_squared_error: 1.1626, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9676, kappa: 0.9273, kb_relative_information_score: 1465.9543, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9685, predictive_accuracy: 0.9679, prior_entropy: 0.9264, recall: 0.9679, relative_absolute_error: 0.0734, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.3439, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9676, kappa: 0.9273, kb_relative_information_score: 1465.9543, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9685, predictive_accuracy: 0.9679, prior_entropy: 0.9264, recall: 0.9679, relative_absolute_error: 0.0734, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.3439, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9531, kappa: 0.8948, kb_relative_information_score: 1324.1433, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9536, predictive_accuracy: 0.9535, prior_entropy: 0.9264, recall: 0.9535, relative_absolute_error: 0.1811, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.4025, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9677, kappa: 0.9274, kb_relative_information_score: 1364.003, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9684, predictive_accuracy: 0.9679, prior_entropy: 0.9264, recall: 0.9679, relative_absolute_error: 0.152, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.3521, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9609, kappa: 0.9127, kb_relative_information_score: 1404.933, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9609, predictive_accuracy: 0.961, prior_entropy: 0.9264, recall: 0.961, relative_absolute_error: 0.1186, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.4009, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5537, f_measure: 0.603, kappa: 0.1371, kb_relative_information_score: 466.7498, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.7922, predictive_accuracy: 0.6969, prior_entropy: 0.9264, recall: 0.6969, relative_absolute_error: 0.6749, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.5506, root_relative_squared_error: 1.1626, scimark_benchmark: 944.1783, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5537, f_measure: 0.603, kappa: 0.1371, kb_relative_information_score: 466.7498, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.7922, predictive_accuracy: 0.6969, prior_entropy: 0.9264, recall: 0.6969, relative_absolute_error: 0.6749, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.5506, root_relative_squared_error: 1.1626, scimark_benchmark: 944.1783, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9676, kappa: 0.9273, kb_relative_information_score: 1465.9543, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9685, predictive_accuracy: 0.9679, prior_entropy: 0.9264, recall: 0.9679, relative_absolute_error: 0.0734, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.3439, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9676, kappa: 0.9273, kb_relative_information_score: 1465.9543, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9685, predictive_accuracy: 0.9679, prior_entropy: 0.9264, recall: 0.9679, relative_absolute_error: 0.0734, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.3439, scimark_benchmark: 947.1781, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9715, kappa: 0.9361, kb_relative_information_score: 1421.0004, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.972, predictive_accuracy: 0.9717, prior_entropy: 0.9264, recall: 0.9717, relative_absolute_error: 0.1137, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.301, scimark_benchmark: 943.1009, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, f_measure: 0.9567, kappa: 0.9037, kb_relative_information_score: 1380.8395, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9569, predictive_accuracy: 0.9566, prior_entropy: 0.9264, recall: 0.9566, relative_absolute_error: 0.1372, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.4289, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9704, kappa: 0.9338, kb_relative_information_score: 1443.2744, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9704, predictive_accuracy: 0.9704, prior_entropy: 0.9264, recall: 0.9704, relative_absolute_error: 0.0947, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1497, root_relative_squared_error: 0.316, scimark_benchmark: 908.9569, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9634, kappa: 0.9183, kb_relative_information_score: 1442.2329, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9634, predictive_accuracy: 0.9635, prior_entropy: 0.9264, recall: 0.9635, relative_absolute_error: 0.0903, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1695, root_relative_squared_error: 0.3579, scimark_benchmark: 938.1282, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5537, f_measure: 0.603, kappa: 0.1371, kb_relative_information_score: 466.7498, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.7922, predictive_accuracy: 0.6969, prior_entropy: 0.9264, recall: 0.6969, relative_absolute_error: 0.6749, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.5506, root_relative_squared_error: 1.1626, scimark_benchmark: 940.1221, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5537, f_measure: 0.603, kappa: 0.1371, kb_relative_information_score: 466.7498, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.7922, predictive_accuracy: 0.6969, prior_entropy: 0.9264, recall: 0.6969, relative_absolute_error: 0.6749, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.5506, root_relative_squared_error: 1.1626, scimark_benchmark: 926.5462, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9676, kappa: 0.9273, kb_relative_information_score: 1465.9543, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9685, predictive_accuracy: 0.9679, prior_entropy: 0.9264, recall: 0.9679, relative_absolute_error: 0.0734, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.3439, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9676, kappa: 0.9273, kb_relative_information_score: 1465.9543, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9685, predictive_accuracy: 0.9679, prior_entropy: 0.9264, recall: 0.9679, relative_absolute_error: 0.0734, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.3439, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9676, kappa: 0.9273, kb_relative_information_score: 1465.9543, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9685, predictive_accuracy: 0.9679, prior_entropy: 0.9264, recall: 0.9679, relative_absolute_error: 0.0734, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.3439, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9531, kappa: 0.8948, kb_relative_information_score: 1324.1433, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9536, predictive_accuracy: 0.9535, prior_entropy: 0.9264, recall: 0.9535, relative_absolute_error: 0.1811, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.4025, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9677, kappa: 0.9274, kb_relative_information_score: 1364.003, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9684, predictive_accuracy: 0.9679, prior_entropy: 0.9264, recall: 0.9679, relative_absolute_error: 0.152, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.3521, scimark_benchmark: 935.5664, usercpu_time_millis: 460, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9676, kappa: 0.9273, kb_relative_information_score: 1465.9543, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9685, predictive_accuracy: 0.9679, prior_entropy: 0.9264, recall: 0.9679, relative_absolute_error: 0.0734, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.3439, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9609, kappa: 0.9127, kb_relative_information_score: 1404.933, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9609, predictive_accuracy: 0.961, prior_entropy: 0.9264, recall: 0.961, relative_absolute_error: 0.1186, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.4009, scimark_benchmark: 945.6228, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9715, kappa: 0.9361, kb_relative_information_score: 1421.0004, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.972, predictive_accuracy: 0.9717, prior_entropy: 0.9264, recall: 0.9717, relative_absolute_error: 0.1137, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.301, scimark_benchmark: 901.4991, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9715, kappa: 0.9361, kb_relative_information_score: 1415.9432, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.972, predictive_accuracy: 0.9717, prior_entropy: 0.9264, recall: 0.9717, relative_absolute_error: 0.1185, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.3051, scimark_benchmark: 904.5548, usercpu_time_millis: 1060, usercpu_time_millis_testing: 500, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9709, kappa: 0.9346, kb_relative_information_score: 1417.6461, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9714, predictive_accuracy: 0.9711, prior_entropy: 0.9264, recall: 0.9711, relative_absolute_error: 0.1171, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1433, root_relative_squared_error: 0.3026, scimark_benchmark: 859.5223, usercpu_time_millis: 410, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9728, kappa: 0.939, kb_relative_information_score: 1412.021, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9732, predictive_accuracy: 0.973, prior_entropy: 0.9264, recall: 0.973, relative_absolute_error: 0.1207, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.148, root_relative_squared_error: 0.3124, scimark_benchmark: 903.179, usercpu_time_millis: 190, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9721, kappa: 0.9375, kb_relative_information_score: 1413.7453, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9726, predictive_accuracy: 0.9723, prior_entropy: 0.9264, recall: 0.9723, relative_absolute_error: 0.1177, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1477, root_relative_squared_error: 0.3118, scimark_benchmark: 917.2109, usercpu_time_millis: 100, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9684, kappa: 0.9293, kb_relative_information_score: 1404.9448, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9686, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.1233, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1541, root_relative_squared_error: 0.3253, scimark_benchmark: 928.821, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9779, kappa: 0.9507, kb_relative_information_score: 1500.8637, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.978, predictive_accuracy: 0.978, prior_entropy: 0.9264, recall: 0.978, relative_absolute_error: 0.0525, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.148, root_relative_squared_error: 0.3126, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9779, kappa: 0.9507, kb_relative_information_score: 1500.8637, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.978, predictive_accuracy: 0.978, prior_entropy: 0.9264, recall: 0.978, relative_absolute_error: 0.0525, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.148, root_relative_squared_error: 0.3126, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9779, kappa: 0.9507, kb_relative_information_score: 1501.8468, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.978, predictive_accuracy: 0.978, prior_entropy: 0.9264, recall: 0.978, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1459, root_relative_squared_error: 0.3081, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9754, kappa: 0.9449, kb_relative_information_score: 1495.1777, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9755, predictive_accuracy: 0.9755, prior_entropy: 0.9264, recall: 0.9755, relative_absolute_error: 0.0555, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.3148, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.971, kappa: 0.9353, kb_relative_information_score: 1478.1355, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.971, predictive_accuracy: 0.9711, prior_entropy: 0.9264, recall: 0.9711, relative_absolute_error: 0.0654, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.3361, scimark_benchmark: 929.0296,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9663, kappa: 0.9243, kb_relative_information_score: 1464.9787, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9675, predictive_accuracy: 0.9667, prior_entropy: 0.9264, recall: 0.9667, relative_absolute_error: 0.0733, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.352, scimark_benchmark: 1335.6555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9676, kappa: 0.9273, kb_relative_information_score: 1465.9543, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9685, predictive_accuracy: 0.9679, prior_entropy: 0.9264, recall: 0.9679, relative_absolute_error: 0.0734, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.3439, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9663, kappa: 0.9243, kb_relative_information_score: 1464.9787, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9675, predictive_accuracy: 0.9667, prior_entropy: 0.9264, recall: 0.9667, relative_absolute_error: 0.0733, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.352, scimark_benchmark: 1351.1238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9676, kappa: 0.9273, kb_relative_information_score: 1465.9543, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9685, predictive_accuracy: 0.9679, prior_entropy: 0.9264, recall: 0.9679, relative_absolute_error: 0.0734, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.3439, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9676, kappa: 0.9273, kb_relative_information_score: 1465.9543, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9685, predictive_accuracy: 0.9679, prior_entropy: 0.9264, recall: 0.9679, relative_absolute_error: 0.0734, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.3439, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9677, kappa: 0.9274, kb_relative_information_score: 1364.003, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9684, predictive_accuracy: 0.9679, prior_entropy: 0.9264, recall: 0.9679, relative_absolute_error: 0.152, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.3521, scimark_benchmark: 1340.5125, usercpu_time_millis: 410, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9676, kappa: 0.9273, kb_relative_information_score: 1465.9543, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9685, predictive_accuracy: 0.9679, prior_entropy: 0.9264, recall: 0.9679, relative_absolute_error: 0.0734, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.3439, scimark_benchmark: 1339.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9676, kappa: 0.9273, kb_relative_information_score: 1465.9543, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9685, predictive_accuracy: 0.9679, prior_entropy: 0.9264, recall: 0.9679, relative_absolute_error: 0.0734, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.3439, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9676, kappa: 0.9273, kb_relative_information_score: 1465.9543, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9685, predictive_accuracy: 0.9679, prior_entropy: 0.9264, recall: 0.9679, relative_absolute_error: 0.0734, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.3439, scimark_benchmark: 1374.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9676, kappa: 0.9273, kb_relative_information_score: 1465.9543, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9685, predictive_accuracy: 0.9679, prior_entropy: 0.9264, recall: 0.9679, relative_absolute_error: 0.0734, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.3439, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9676, kappa: 0.9273, kb_relative_information_score: 1465.9543, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9685, predictive_accuracy: 0.9679, prior_entropy: 0.9264, recall: 0.9679, relative_absolute_error: 0.0734, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.3439, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9609, kappa: 0.9127, kb_relative_information_score: 1404.933, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9609, predictive_accuracy: 0.961, prior_entropy: 0.9264, recall: 0.961, relative_absolute_error: 0.1186, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.4009, scimark_benchmark: 1313.5633, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9715, kappa: 0.9361, kb_relative_information_score: 1421.0004, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.972, predictive_accuracy: 0.9717, prior_entropy: 0.9264, recall: 0.9717, relative_absolute_error: 0.1137, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.301, scimark_benchmark: 1323.5075, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9703, kappa: 0.9335, kb_relative_information_score: 1442.462, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9705, predictive_accuracy: 0.9704, prior_entropy: 0.9264, recall: 0.9704, relative_absolute_error: 0.0926, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1497, root_relative_squared_error: 0.3161, scimark_benchmark: 1346.0226, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, f_measure: 0.951, kappa: 0.891, kb_relative_information_score: 1373.3285, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9512, predictive_accuracy: 0.9509, prior_entropy: 0.9264, recall: 0.9509, relative_absolute_error: 0.1374, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.4608, scimark_benchmark: 1321.4771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9634, kappa: 0.9183, kb_relative_information_score: 1442.2329, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9634, predictive_accuracy: 0.9635, prior_entropy: 0.9264, recall: 0.9635, relative_absolute_error: 0.0903, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1695, root_relative_squared_error: 0.3579, scimark_benchmark: 1339.6197, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9628, kappa: 0.9167, kb_relative_information_score: 1348.9744, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9628, predictive_accuracy: 0.9629, prior_entropy: 0.9264, recall: 0.9629, relative_absolute_error: 0.1586, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.3881, scimark_benchmark: 1324.5762, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9663, kappa: 0.9243, kb_relative_information_score: 1464.9787, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9675, predictive_accuracy: 0.9667, prior_entropy: 0.9264, recall: 0.9667, relative_absolute_error: 0.0733, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.352, scimark_benchmark: 1371.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9715, kappa: 0.9361, kb_relative_information_score: 1421.0004, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.972, predictive_accuracy: 0.9717, prior_entropy: 0.9264, recall: 0.9717, relative_absolute_error: 0.1137, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.301, scimark_benchmark: 1313.8988, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, f_measure: 0.9567, kappa: 0.9037, kb_relative_information_score: 1380.8395, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9569, predictive_accuracy: 0.9566, prior_entropy: 0.9264, recall: 0.9566, relative_absolute_error: 0.1372, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.4289, scimark_benchmark: 1382.5085,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9676, kappa: 0.9273, kb_relative_information_score: 1465.9543, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9685, predictive_accuracy: 0.9679, prior_entropy: 0.9264, recall: 0.9679, relative_absolute_error: 0.0734, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.3439, scimark_benchmark: 1344.0499,

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

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From your own software

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

OpenML APIs