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Function: require_once

OpenML
Task
Supervised Classification on mfeat-morphological

Supervised Classification on mfeat-morphological

Task 18 Supervised Classification mfeat-morphological 21769 runs submitted
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Visibility: Public
  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_70 study_98 study_99 under100k under1m
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21769 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.7094, kappa: 0.69, kb_relative_information_score: 1497.6186, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7172, predictive_accuracy: 0.721, prior_entropy: 3.3219, recall: 0.721, relative_absolute_error: 0.3469, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.6708, scimark_benchmark: 926.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.7019, kappa: 0.6706, kb_relative_information_score: 1507.6563, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7026, predictive_accuracy: 0.7035, prior_entropy: 3.3219, recall: 0.7035, relative_absolute_error: 0.3773, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1867, root_relative_squared_error: 0.6225, scimark_benchmark: 947.4576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.0801, kappa: 0.1106, kb_relative_information_score: 572.1443, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0577, predictive_accuracy: 0.1995, prior_entropy: 3.3219, recall: 0.1995, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.9446, scimark_benchmark: 947.3169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.7448, kappa: 0.7183, kb_relative_information_score: 562.0311, mean_absolute_error: 0.1616, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7481, predictive_accuracy: 0.7465, prior_entropy: 3.3219, recall: 0.7465, relative_absolute_error: 0.898, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.275, root_relative_squared_error: 0.9166, scimark_benchmark: 945.1208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.693, kappa: 0.665, kb_relative_information_score: 545.5196, mean_absolute_error: 0.1624, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7034, predictive_accuracy: 0.6985, prior_entropy: 3.3219, recall: 0.6985, relative_absolute_error: 0.9021, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2765, root_relative_squared_error: 0.9217, scimark_benchmark: 951.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.7094, kappa: 0.69, kb_relative_information_score: 1497.6186, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7172, predictive_accuracy: 0.721, prior_entropy: 3.3219, recall: 0.721, relative_absolute_error: 0.3469, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.6708, scimark_benchmark: 945.9101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.71, kappa: 0.6794, kb_relative_information_score: 1510.1603, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7112, predictive_accuracy: 0.7115, prior_entropy: 3.3219, recall: 0.7115, relative_absolute_error: 0.3768, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.6186, scimark_benchmark: 948.6932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.0801, kappa: 0.1106, kb_relative_information_score: 572.1443, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0577, predictive_accuracy: 0.1995, prior_entropy: 3.3219, recall: 0.1995, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.9446, scimark_benchmark: 904.0276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.7291, kappa: 0.7011, kb_relative_information_score: 559.4323, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7317, predictive_accuracy: 0.731, prior_entropy: 3.3219, recall: 0.731, relative_absolute_error: 0.8988, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.918, scimark_benchmark: 948.5633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.6999, kappa: 0.6672, kb_relative_information_score: 1452.4291, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7005, predictive_accuracy: 0.7005, prior_entropy: 3.3219, recall: 0.7005, relative_absolute_error: 0.3799, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2039, root_relative_squared_error: 0.6798, scimark_benchmark: 948.6949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.7281, kappa: 0.7006, kb_relative_information_score: 560.0377, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7307, predictive_accuracy: 0.7305, prior_entropy: 3.3219, recall: 0.7305, relative_absolute_error: 0.8986, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.9175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.7063, kappa: 0.6772, kb_relative_information_score: 555.0306, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7155, predictive_accuracy: 0.7095, prior_entropy: 3.3219, recall: 0.7095, relative_absolute_error: 0.8997, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2757, root_relative_squared_error: 0.9189, scimark_benchmark: 949.1962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.6224, kappa: 0.6178, kb_relative_information_score: 1382.7697, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6502, predictive_accuracy: 0.656, prior_entropy: 3.3219, recall: 0.656, relative_absolute_error: 0.3962, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2253, root_relative_squared_error: 0.7511, scimark_benchmark: 936.0881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.6657, kappa: 0.6394, kb_relative_information_score: 1246.4974, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6704, predictive_accuracy: 0.6755, prior_entropy: 3.3219, recall: 0.6755, relative_absolute_error: 0.56, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.6937, scimark_benchmark: 946.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.7283, kappa: 0.6983, kb_relative_information_score: 1531.661, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7306, predictive_accuracy: 0.7285, prior_entropy: 3.3219, recall: 0.7285, relative_absolute_error: 0.3572, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.6198, scimark_benchmark: 865.4659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.7094, kappa: 0.68, kb_relative_information_score: 556.7575, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7181, predictive_accuracy: 0.712, prior_entropy: 3.3219, recall: 0.712, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2755, root_relative_squared_error: 0.9182, scimark_benchmark: 944.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.7214, kappa: 0.6922, kb_relative_information_score: 558.8191, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7273, predictive_accuracy: 0.723, prior_entropy: 3.3219, recall: 0.723, relative_absolute_error: 0.8988, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2753, root_relative_squared_error: 0.9178, scimark_benchmark: 947.4122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.7094, kappa: 0.69, kb_relative_information_score: 1497.6186, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7172, predictive_accuracy: 0.721, prior_entropy: 3.3219, recall: 0.721, relative_absolute_error: 0.3469, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.6708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.7437, kappa: 0.7178, kb_relative_information_score: 562.3686, mean_absolute_error: 0.1616, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7469, predictive_accuracy: 0.746, prior_entropy: 3.3219, recall: 0.746, relative_absolute_error: 0.898, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2749, root_relative_squared_error: 0.9164, scimark_benchmark: 948.6338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.7093, kappa: 0.6867, kb_relative_information_score: 1461.8766, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7168, predictive_accuracy: 0.718, prior_entropy: 3.3219, recall: 0.718, relative_absolute_error: 0.3898, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.6477, scimark_benchmark: 946.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.7383, kappa: 0.71, kb_relative_information_score: 1521.0845, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7411, predictive_accuracy: 0.739, prior_entropy: 3.3219, recall: 0.739, relative_absolute_error: 0.3728, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.6021, scimark_benchmark: 948.8192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.6937, kappa: 0.6839, kb_relative_information_score: 1456.317, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7166, predictive_accuracy: 0.7155, prior_entropy: 3.3219, recall: 0.7155, relative_absolute_error: 0.3971, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.6502, scimark_benchmark: 946.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.6995, kappa: 0.7017, kb_relative_information_score: 1495.0329, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7323, predictive_accuracy: 0.7315, prior_entropy: 3.3219, recall: 0.7315, relative_absolute_error: 0.358, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.6506, scimark_benchmark: 946.5725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.738, kappa: 0.7094, kb_relative_information_score: 1517.8171, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7412, predictive_accuracy: 0.7385, prior_entropy: 3.3219, recall: 0.7385, relative_absolute_error: 0.3753, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.6029, scimark_benchmark: 945.4765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.6881, kappa: 0.6817, kb_relative_information_score: 1452.338, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7151, predictive_accuracy: 0.7135, prior_entropy: 3.3219, recall: 0.7135, relative_absolute_error: 0.4035, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.6518, scimark_benchmark: 904.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.6918, kappa: 0.6622, kb_relative_information_score: 552.207, mean_absolute_error: 0.1621, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.701, predictive_accuracy: 0.696, prior_entropy: 3.3219, recall: 0.696, relative_absolute_error: 0.9005, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.9198, scimark_benchmark: 947.5865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.7012, kappa: 0.6694, kb_relative_information_score: 1502.5278, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7016, predictive_accuracy: 0.7025, prior_entropy: 3.3219, recall: 0.7025, relative_absolute_error: 0.3509, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2034, root_relative_squared_error: 0.678, scimark_benchmark: 946.5179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.7299, kappa: 0.7, kb_relative_information_score: 556.6332, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7329, predictive_accuracy: 0.73, prior_entropy: 3.3219, recall: 0.73, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.9186, scimark_benchmark: 938.9495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.7456, kappa: 0.7206, kb_relative_information_score: 562.1081, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7495, predictive_accuracy: 0.7485, prior_entropy: 3.3219, recall: 0.7485, relative_absolute_error: 0.8981, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2749, root_relative_squared_error: 0.9164, scimark_benchmark: 944.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.6897, kappa: 0.6922, kb_relative_information_score: 1474.4787, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7069, predictive_accuracy: 0.723, prior_entropy: 3.3219, recall: 0.723, relative_absolute_error: 0.381, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.6486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.7196, kappa: 0.6911, kb_relative_information_score: 1531.9816, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7233, predictive_accuracy: 0.722, prior_entropy: 3.3219, recall: 0.722, relative_absolute_error: 0.3512, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.6305, scimark_benchmark: 945.5322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.7084, kappa: 0.6794, kb_relative_information_score: 555.9424, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7175, predictive_accuracy: 0.7115, prior_entropy: 3.3219, recall: 0.7115, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.9186, scimark_benchmark: 919.6771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.7319, kappa: 0.7028, kb_relative_information_score: 1527.4497, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7356, predictive_accuracy: 0.7325, prior_entropy: 3.3219, recall: 0.7325, relative_absolute_error: 0.3638, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.6162, scimark_benchmark: 907.9209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.7233, kappa: 0.695, kb_relative_information_score: 558.5105, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.726, predictive_accuracy: 0.7255, prior_entropy: 3.3219, recall: 0.7255, relative_absolute_error: 0.899, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2755, root_relative_squared_error: 0.9182, scimark_benchmark: 912.2922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.6945, kappa: 0.6856, kb_relative_information_score: 1454.3285, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7196, predictive_accuracy: 0.717, prior_entropy: 3.3219, recall: 0.717, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.6509, scimark_benchmark: 948.4711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.0801, kappa: 0.1106, kb_relative_information_score: 572.1443, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0577, predictive_accuracy: 0.1995, prior_entropy: 3.3219, recall: 0.1995, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.9446, scimark_benchmark: 921.7375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.7296, kappa: 0.7033, kb_relative_information_score: 1504.1217, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7308, predictive_accuracy: 0.733, prior_entropy: 3.3219, recall: 0.733, relative_absolute_error: 0.3703, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.6203, scimark_benchmark: 946.2781,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.6938, kappa: 0.6594, kb_relative_information_score: 548.2537, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.695, predictive_accuracy: 0.6935, prior_entropy: 3.3219, recall: 0.6935, relative_absolute_error: 0.9013, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.276, root_relative_squared_error: 0.9199, scimark_benchmark: 946.6151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.7267, kappa: 0.6972, kb_relative_information_score: 1508.2096, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7276, predictive_accuracy: 0.7275, prior_entropy: 3.3219, recall: 0.7275, relative_absolute_error: 0.3607, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.6272, scimark_benchmark: 947.1704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.6772, kappa: 0.66, kb_relative_information_score: 549.0149, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6967, predictive_accuracy: 0.694, prior_entropy: 3.3219, recall: 0.694, relative_absolute_error: 0.9011, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2762, root_relative_squared_error: 0.9206, scimark_benchmark: 948.3328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.6914, kappa: 0.6572, kb_relative_information_score: 1446.8326, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6918, predictive_accuracy: 0.6915, prior_entropy: 3.3219, recall: 0.6915, relative_absolute_error: 0.3791, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.207, root_relative_squared_error: 0.6901, scimark_benchmark: 947.6493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7153, f_measure: 0.4749, kappa: 0.4306, kb_relative_information_score: 928.0986, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.4756, predictive_accuracy: 0.4875, prior_entropy: 3.3219, recall: 0.4875, relative_absolute_error: 0.5694, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3202, root_relative_squared_error: 1.0672, scimark_benchmark: 934.5824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.6968, kappa: 0.6939, kb_relative_information_score: 1467.1694, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7247, predictive_accuracy: 0.7245, prior_entropy: 3.3219, recall: 0.7245, relative_absolute_error: 0.3829, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.6452, scimark_benchmark: 948.4329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.7041, kappa: 0.6928, kb_relative_information_score: 1494.4362, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7166, predictive_accuracy: 0.7235, prior_entropy: 3.3219, recall: 0.7235, relative_absolute_error: 0.3523, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.6662, scimark_benchmark: 928.7691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8856, f_measure: 0.6617, kappa: 0.6239, kb_relative_information_score: 1401.5622, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6637, predictive_accuracy: 0.6615, prior_entropy: 3.3219, recall: 0.6615, relative_absolute_error: 0.3908, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.7521, scimark_benchmark: 926.0072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.6922, kappa: 0.6911, kb_relative_information_score: 1461.7242, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7194, predictive_accuracy: 0.722, prior_entropy: 3.3219, recall: 0.722, relative_absolute_error: 0.3917, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.194, root_relative_squared_error: 0.6468, scimark_benchmark: 948.4269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.6949, kappa: 0.6822, kb_relative_information_score: 1458.4159, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7153, predictive_accuracy: 0.714, prior_entropy: 3.3219, recall: 0.714, relative_absolute_error: 0.3942, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.6496, scimark_benchmark: 923.7894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.7134, kappa: 0.6833, kb_relative_information_score: 1505.7327, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7142, predictive_accuracy: 0.715, prior_entropy: 3.3219, recall: 0.715, relative_absolute_error: 0.3776, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.6243, scimark_benchmark: 947.2925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.7383, kappa: 0.71, kb_relative_information_score: 1521.0845, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7411, predictive_accuracy: 0.739, prior_entropy: 3.3219, recall: 0.739, relative_absolute_error: 0.3728, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.6021, scimark_benchmark: 942.3686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.6856, kappa: 0.6678, kb_relative_information_score: 1390.742, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6964, predictive_accuracy: 0.701, prior_entropy: 3.3219, recall: 0.701, relative_absolute_error: 0.4843, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.6532, scimark_benchmark: 946.7793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8621, f_measure: 0.4177, kappa: 0.3594, kb_relative_information_score: 456.3746, mean_absolute_error: 0.1659, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.4921, predictive_accuracy: 0.4235, prior_entropy: 3.3219, recall: 0.4235, relative_absolute_error: 0.9217, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.942, scimark_benchmark: 947.1078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.6965, kappa: 0.6989, kb_relative_information_score: 1487.9751, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7138, predictive_accuracy: 0.729, prior_entropy: 3.3219, recall: 0.729, relative_absolute_error: 0.3631, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.6526, scimark_benchmark: 948.1763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.7167, kappa: 0.685, kb_relative_information_score: 553.5652, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7182, predictive_accuracy: 0.7165, prior_entropy: 3.3219, recall: 0.7165, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2757, root_relative_squared_error: 0.9191, scimark_benchmark: 946.6596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.6985, kappa: 0.6667, kb_relative_information_score: 1474.3164, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.698, predictive_accuracy: 0.7, prior_entropy: 3.3219, recall: 0.7, relative_absolute_error: 0.3599, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2007, root_relative_squared_error: 0.6691, scimark_benchmark: 947.1993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.6841, kappa: 0.6822, kb_relative_information_score: 1454.1227, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7028, predictive_accuracy: 0.714, prior_entropy: 3.3219, recall: 0.714, relative_absolute_error: 0.3996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.6511, scimark_benchmark: 916.7998,

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