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Supervised Classification on auto_price

Supervised Classification on auto_price

Task 4316 Supervised Classification auto_price 196 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.9548, kappa: 0.8994, kb_relative_information_score: 1375.3479, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9549, predictive_accuracy: 0.9547, prior_entropy: 0.9264, recall: 0.9547, relative_absolute_error: 0.1402, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.4343, 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: 1443.3097, 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: 40, usercpu_time_millis_training: 40,
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: 904.6764, usercpu_time_millis: 10, usercpu_time_millis_testing: 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: 931.771, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9676, kappa: 0.9273, kb_relative_information_score: 1467.3976, mean_absolute_error: 0.0327, 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: 0.0728, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.3458, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9538, kappa: 0.8963, kb_relative_information_score: 1320.4391, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9542, predictive_accuracy: 0.9541, prior_entropy: 0.9264, recall: 0.9541, relative_absolute_error: 0.1841, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.4044, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9721, kappa: 0.9372, kb_relative_information_score: 1373.5825, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9732, predictive_accuracy: 0.9723, prior_entropy: 0.9264, recall: 0.9723, relative_absolute_error: 0.1476, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1597, root_relative_squared_error: 0.3372, scimark_benchmark: 944.1067, usercpu_time_millis: 400, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9571, kappa: 0.9041, kb_relative_information_score: 1402.7627, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9571, predictive_accuracy: 0.9572, prior_entropy: 0.9264, recall: 0.9572, relative_absolute_error: 0.1177, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.4183, scimark_benchmark: 927.2917, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
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: 932.438, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9715, kappa: 0.9361, kb_relative_information_score: 1417.5731, mean_absolute_error: 0.0523, 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: 0.1165, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.3022, scimark_benchmark: 937.5117, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.9548, kappa: 0.8994, kb_relative_information_score: 1375.3479, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9549, predictive_accuracy: 0.9547, prior_entropy: 0.9264, recall: 0.9547, relative_absolute_error: 0.1402, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.4343, 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: 1443.3097, 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,
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: 937.5683, 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: 859.5223, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.967, kappa: 0.9257, kb_relative_information_score: 1464.4075, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9682, predictive_accuracy: 0.9673, prior_entropy: 0.9264, recall: 0.9673, relative_absolute_error: 0.074, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.355, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9676, kappa: 0.9273, kb_relative_information_score: 1467.3976, mean_absolute_error: 0.0327, 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: 0.0728, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.3458, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9676, kappa: 0.9273, kb_relative_information_score: 1467.3976, mean_absolute_error: 0.0327, 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: 0.0728, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.3458, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9538, kappa: 0.8963, kb_relative_information_score: 1320.4391, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9542, predictive_accuracy: 0.9541, prior_entropy: 0.9264, recall: 0.9541, relative_absolute_error: 0.1841, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.4044, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9721, kappa: 0.9372, kb_relative_information_score: 1373.5825, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9732, predictive_accuracy: 0.9723, prior_entropy: 0.9264, recall: 0.9723, relative_absolute_error: 0.1476, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1597, root_relative_squared_error: 0.3372, scimark_benchmark: 934.5964, usercpu_time_millis: 320, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9676, kappa: 0.9273, kb_relative_information_score: 1467.3976, mean_absolute_error: 0.0327, 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: 0.0728, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.3458, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9571, kappa: 0.9041, kb_relative_information_score: 1402.7627, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9571, predictive_accuracy: 0.9572, prior_entropy: 0.9264, recall: 0.9572, relative_absolute_error: 0.1177, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.4183, scimark_benchmark: 945.6228, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9715, kappa: 0.9361, kb_relative_information_score: 1417.5731, mean_absolute_error: 0.0523, 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: 0.1165, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.3022, scimark_benchmark: 938.988, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9728, kappa: 0.939, kb_relative_information_score: 1412.1255, mean_absolute_error: 0.0545, 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: 0.1214, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1454, root_relative_squared_error: 0.3071, scimark_benchmark: 1051.249, usercpu_time_millis: 1600, usercpu_time_millis_testing: 800, usercpu_time_millis_training: 800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9728, kappa: 0.939, kb_relative_information_score: 1413.7017, mean_absolute_error: 0.0539, 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: 0.1199, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1442, root_relative_squared_error: 0.3045, scimark_benchmark: 904.5548, usercpu_time_millis: 460, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9728, kappa: 0.939, kb_relative_information_score: 1410.2625, mean_absolute_error: 0.0548, 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: 0.1219, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1477, root_relative_squared_error: 0.3119, scimark_benchmark: 897.0978, usercpu_time_millis: 210, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9715, kappa: 0.9362, kb_relative_information_score: 1410.0611, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9719, predictive_accuracy: 0.9717, prior_entropy: 0.9264, recall: 0.9717, relative_absolute_error: 0.1197, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1486, root_relative_squared_error: 0.3137, scimark_benchmark: 917.2109, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9697, kappa: 0.9321, kb_relative_information_score: 1407.3422, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9698, predictive_accuracy: 0.9698, prior_entropy: 0.9264, recall: 0.9698, relative_absolute_error: 0.122, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.152, root_relative_squared_error: 0.321, scimark_benchmark: 941.8684, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9779, kappa: 0.9507, kb_relative_information_score: 1500.8643, 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: 941.9549, 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: 1500.8643, 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, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9779, kappa: 0.9507, kb_relative_information_score: 1501.8475, 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: 1495.1782, 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: 1478.1362, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.466, f_measure: 0.5253, kb_relative_information_score: -3.1773, mean_absolute_error: 0.4495, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.4361, predictive_accuracy: 0.6604, prior_entropy: 0.9264, recall: 0.6604, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.4738, root_relative_squared_error: 1.0005, scimark_benchmark: 941.9549,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9716, kappa: 0.9364, kb_relative_information_score: 1480.1984, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9717, predictive_accuracy: 0.9717, prior_entropy: 0.9264, recall: 0.9717, relative_absolute_error: 0.0643, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.355, scimark_benchmark: 941.9549, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9721, kappa: 0.9372, kb_relative_information_score: 1373.5825, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9732, predictive_accuracy: 0.9723, prior_entropy: 0.9264, recall: 0.9723, relative_absolute_error: 0.1476, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1597, root_relative_squared_error: 0.3372, scimark_benchmark: 1309.2287, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9676, kappa: 0.9273, kb_relative_information_score: 1467.3976, mean_absolute_error: 0.0327, 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: 0.0728, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.3458, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9704, kappa: 0.9338, kb_relative_information_score: 1443.3097, 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: 1358.6198,
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: 1331.1314, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9676, kappa: 0.9273, kb_relative_information_score: 1467.3976, mean_absolute_error: 0.0327, 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: 0.0728, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.3458, scimark_benchmark: 1321.8321,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9538, kappa: 0.8963, kb_relative_information_score: 1320.4391, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9542, predictive_accuracy: 0.9541, prior_entropy: 0.9264, recall: 0.9541, relative_absolute_error: 0.1841, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.4044, scimark_benchmark: 1326.2019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9571, kappa: 0.9041, kb_relative_information_score: 1402.7627, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9571, predictive_accuracy: 0.9572, prior_entropy: 0.9264, recall: 0.9572, relative_absolute_error: 0.1177, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.4183, scimark_benchmark: 1335.5309, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9715, kappa: 0.9361, kb_relative_information_score: 1417.5731, mean_absolute_error: 0.0523, 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: 0.1165, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.3022, scimark_benchmark: 1323.5075, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.9508, kappa: 0.8898, kb_relative_information_score: 1324.4398, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9508, predictive_accuracy: 0.9509, prior_entropy: 0.9264, recall: 0.9509, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.4567, scimark_benchmark: 1330.8256, usercpu_time_millis: 80, usercpu_time_millis_testing: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9703, kappa: 0.9334, kb_relative_information_score: 1438.9003, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9706, predictive_accuracy: 0.9704, prior_entropy: 0.9264, recall: 0.9704, relative_absolute_error: 0.095, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.3215, scimark_benchmark: 1256.2802, usercpu_time_millis: 10, usercpu_time_millis_testing: 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: 1325.3966, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9647, kappa: 0.9211, kb_relative_information_score: 1342.1888, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9647, predictive_accuracy: 0.9648, prior_entropy: 0.9264, recall: 0.9648, relative_absolute_error: 0.1646, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.3808, scimark_benchmark: 1324.5762, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.967, kappa: 0.9257, kb_relative_information_score: 1464.4075, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9682, predictive_accuracy: 0.9673, prior_entropy: 0.9264, recall: 0.9673, relative_absolute_error: 0.074, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.355, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9676, kappa: 0.9273, kb_relative_information_score: 1467.3976, mean_absolute_error: 0.0327, 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: 0.0728, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.3458, scimark_benchmark: 1317.2327,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9704, kappa: 0.9338, kb_relative_information_score: 1443.3097, 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: 1371.4836, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9676, kappa: 0.9273, kb_relative_information_score: 1467.3976, mean_absolute_error: 0.0327, 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: 0.0728, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.3458, scimark_benchmark: 1325.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9715, kappa: 0.9361, kb_relative_information_score: 1417.5731, mean_absolute_error: 0.0523, 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: 0.1165, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.3022, scimark_benchmark: 1357.7543, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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: 1340.9232, usercpu_time_millis: 20, usercpu_time_millis_training: 20,

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