OpenML
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 14 Supervised Classification mfeat-fourier 23733 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.7534, kappa: 0.7283, kb_relative_information_score: 1495.462, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7528, predictive_accuracy: 0.7555, prior_entropy: 3.3219, recall: 0.7555, relative_absolute_error: 0.3391, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.7494, kappa: 0.7244, kb_relative_information_score: 1498.3298, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7482, predictive_accuracy: 0.752, prior_entropy: 3.3219, recall: 0.752, relative_absolute_error: 0.332, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.6411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.7454, kappa: 0.72, kb_relative_information_score: 1497.9852, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7442, predictive_accuracy: 0.748, prior_entropy: 3.3219, recall: 0.748, relative_absolute_error: 0.3317, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.6429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.8622, kappa: 0.8467, kb_relative_information_score: 578.2741, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8626, predictive_accuracy: 0.862, prior_entropy: 3.3219, recall: 0.862, relative_absolute_error: 0.8944, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2736, root_relative_squared_error: 0.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.8238, kappa: 0.8056, kb_relative_information_score: 573.8742, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8258, predictive_accuracy: 0.825, prior_entropy: 3.3219, recall: 0.825, relative_absolute_error: 0.8953, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2741, root_relative_squared_error: 0.9138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.8401, kappa: 0.8217, kb_relative_information_score: 1708.6206, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8429, predictive_accuracy: 0.8395, prior_entropy: 3.3219, recall: 0.8395, relative_absolute_error: 0.2234, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1508, root_relative_squared_error: 0.5026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.8252, kappa: 0.8067, kb_relative_information_score: 1663.0019, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8301, predictive_accuracy: 0.826, prior_entropy: 3.3219, recall: 0.826, relative_absolute_error: 0.2758, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.5039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.8324, kappa: 0.8122, kb_relative_information_score: 1643.0216, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8346, predictive_accuracy: 0.831, prior_entropy: 3.3219, recall: 0.831, relative_absolute_error: 0.1923, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.6112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.8346, kappa: 0.8156, kb_relative_information_score: 1705.5546, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8372, predictive_accuracy: 0.834, prior_entropy: 3.3219, recall: 0.834, relative_absolute_error: 0.2265, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1514, root_relative_squared_error: 0.5046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.82, kappa: 0.8006, kb_relative_information_score: 1655.2751, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.823, predictive_accuracy: 0.8205, prior_entropy: 3.3219, recall: 0.8205, relative_absolute_error: 0.2816, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1528, root_relative_squared_error: 0.5093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.8126, kappa: 0.7944, kb_relative_information_score: 1540.543, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8117, predictive_accuracy: 0.815, prior_entropy: 3.3219, recall: 0.815, relative_absolute_error: 0.3849, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.5447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.8268, kappa: 0.8083, kb_relative_information_score: 1652.9154, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8302, predictive_accuracy: 0.8275, prior_entropy: 3.3219, recall: 0.8275, relative_absolute_error: 0.2279, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.8122, kappa: 0.7933, kb_relative_information_score: 1627.504, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8165, predictive_accuracy: 0.814, prior_entropy: 3.3219, recall: 0.814, relative_absolute_error: 0.2473, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.8324, kappa: 0.8122, kb_relative_information_score: 1646.1955, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8346, predictive_accuracy: 0.831, prior_entropy: 3.3219, recall: 0.831, relative_absolute_error: 0.1882, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.6126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.8187, kappa: 0.8011, kb_relative_information_score: 1485.9253, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8187, predictive_accuracy: 0.821, prior_entropy: 3.3219, recall: 0.821, relative_absolute_error: 0.4321, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1695, root_relative_squared_error: 0.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8599, f_measure: 0.688, kappa: 0.6544, kb_relative_information_score: 1348.7534, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6878, predictive_accuracy: 0.689, prior_entropy: 3.3219, recall: 0.689, relative_absolute_error: 0.3829, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.7782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.8342, kappa: 0.8172, kb_relative_information_score: 1494.0161, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8344, predictive_accuracy: 0.8355, prior_entropy: 3.3219, recall: 0.8355, relative_absolute_error: 0.4207, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.5564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.8358, kappa: 0.8189, kb_relative_information_score: 1508.7634, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8357, predictive_accuracy: 0.837, prior_entropy: 3.3219, recall: 0.837, relative_absolute_error: 0.4099, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.165, root_relative_squared_error: 0.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.8302, kappa: 0.8117, kb_relative_information_score: 1626.0069, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8308, predictive_accuracy: 0.8305, prior_entropy: 3.3219, recall: 0.8305, relative_absolute_error: 0.2991, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1556, root_relative_squared_error: 0.5188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.8319, kappa: 0.8139, kb_relative_information_score: 1634.3485, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8321, predictive_accuracy: 0.8325, prior_entropy: 3.3219, recall: 0.8325, relative_absolute_error: 0.2913, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.5155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.8194, kappa: 0.8017, kb_relative_information_score: 1434.2686, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8192, predictive_accuracy: 0.8215, prior_entropy: 3.3219, recall: 0.8215, relative_absolute_error: 0.4626, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.175, root_relative_squared_error: 0.5833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.8341, kappa: 0.8172, kb_relative_information_score: 1459.2932, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8337, predictive_accuracy: 0.8355, prior_entropy: 3.3219, recall: 0.8355, relative_absolute_error: 0.4458, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.815, kappa: 0.7944, kb_relative_information_score: 1593.2906, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8163, predictive_accuracy: 0.815, prior_entropy: 3.3219, recall: 0.815, relative_absolute_error: 0.3208, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.5343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.814, kappa: 0.7939, kb_relative_information_score: 1605.6549, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8147, predictive_accuracy: 0.8145, prior_entropy: 3.3219, recall: 0.8145, relative_absolute_error: 0.3106, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.5296, scimark_benchmark: 1748.9578, usercpu_time_millis: 11140, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 11100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.7799, kappa: 0.7567, kb_relative_information_score: 1550.3764, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.782, predictive_accuracy: 0.781, prior_entropy: 3.3219, recall: 0.781, relative_absolute_error: 0.2732, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.6478, scimark_benchmark: 1561.7298, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.7658, kappa: 0.7406, kb_relative_information_score: 1530.9865, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7674, predictive_accuracy: 0.7665, prior_entropy: 3.3219, recall: 0.7665, relative_absolute_error: 0.2746, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.6772, scimark_benchmark: 1827.8189, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.7664, kappa: 0.7411, kb_relative_information_score: 1532.4044, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7678, predictive_accuracy: 0.767, prior_entropy: 3.3219, recall: 0.767, relative_absolute_error: 0.2736, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.203, root_relative_squared_error: 0.6765, scimark_benchmark: 1490.8249, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.7552, kappa: 0.7294, kb_relative_information_score: 1504.2389, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7555, predictive_accuracy: 0.7565, prior_entropy: 3.3219, recall: 0.7565, relative_absolute_error: 0.3337, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.19, root_relative_squared_error: 0.6332, scimark_benchmark: 1722.77, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.7468, kappa: 0.7211, kb_relative_information_score: 1494.264, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7469, predictive_accuracy: 0.749, prior_entropy: 3.3219, recall: 0.749, relative_absolute_error: 0.3323, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.6447, scimark_benchmark: 1511.5668, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.7466, kappa: 0.7211, kb_relative_information_score: 1495.973, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7465, predictive_accuracy: 0.749, prior_entropy: 3.3219, recall: 0.749, relative_absolute_error: 0.3309, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.6454, scimark_benchmark: 1747.4296, usercpu_time_millis: 280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, f_measure: 0.729, kappa: 0.7017, kb_relative_information_score: 1441.6724, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7314, predictive_accuracy: 0.7315, prior_entropy: 3.3219, recall: 0.7315, relative_absolute_error: 0.3829, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.196, root_relative_squared_error: 0.6533, scimark_benchmark: 1697.3145, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.7239, kappa: 0.6961, kb_relative_information_score: 1439.116, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7252, predictive_accuracy: 0.7265, prior_entropy: 3.3219, recall: 0.7265, relative_absolute_error: 0.3819, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1973, root_relative_squared_error: 0.6578, scimark_benchmark: 1606.8251, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.7255, kappa: 0.6972, kb_relative_information_score: 1447.3217, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7278, predictive_accuracy: 0.7275, prior_entropy: 3.3219, recall: 0.7275, relative_absolute_error: 0.3758, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.6554, scimark_benchmark: 1530.2521, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.812, kappa: 0.7933, kb_relative_information_score: 570.9312, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8151, predictive_accuracy: 0.814, prior_entropy: 3.3219, recall: 0.814, relative_absolute_error: 0.8961, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2744, root_relative_squared_error: 0.9148, scimark_benchmark: 1324.7507, usercpu_time_millis: 260, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.8399, kappa: 0.8228, kb_relative_information_score: 576.8578, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8401, predictive_accuracy: 0.8405, prior_entropy: 3.3219, recall: 0.8405, relative_absolute_error: 0.8947, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.9127, scimark_benchmark: 1449.9915, usercpu_time_millis: 550, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.8374, kappa: 0.8189, kb_relative_information_score: 572.4793, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8385, predictive_accuracy: 0.837, prior_entropy: 3.3219, recall: 0.837, relative_absolute_error: 0.8956, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.274, root_relative_squared_error: 0.9134, scimark_benchmark: 1536.9123, usercpu_time_millis: 970, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.8461, kappa: 0.8294, kb_relative_information_score: 576.8184, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8463, predictive_accuracy: 0.8465, prior_entropy: 3.3219, recall: 0.8465, relative_absolute_error: 0.8947, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.9128, scimark_benchmark: 1477.9313, usercpu_time_millis: 1730, usercpu_time_millis_testing: 700, usercpu_time_millis_training: 1030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.8386, kappa: 0.82, kb_relative_information_score: 574.5104, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8394, predictive_accuracy: 0.838, prior_entropy: 3.3219, recall: 0.838, relative_absolute_error: 0.8953, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.274, root_relative_squared_error: 0.9132, scimark_benchmark: 1535.1422, usercpu_time_millis: 2320, usercpu_time_millis_testing: 700, usercpu_time_millis_training: 1620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.8382, kappa: 0.8194, kb_relative_information_score: 573.961, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8392, predictive_accuracy: 0.8375, prior_entropy: 3.3219, recall: 0.8375, relative_absolute_error: 0.8954, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.274, root_relative_squared_error: 0.9134, scimark_benchmark: 1359.2522, usercpu_time_millis: 4010, usercpu_time_millis_testing: 730, usercpu_time_millis_training: 3280,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.7772, kappa: 0.7539, kb_relative_information_score: 558.6952, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7837, predictive_accuracy: 0.7785, prior_entropy: 3.3219, recall: 0.7785, relative_absolute_error: 0.8987, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2753, root_relative_squared_error: 0.9178, scimark_benchmark: 1503.6119, usercpu_time_millis: 9870, usercpu_time_millis_testing: 7820, usercpu_time_millis_training: 2050,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.8139, kappa: 0.795, kb_relative_information_score: 1547.8629, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8142, predictive_accuracy: 0.8155, prior_entropy: 3.3219, recall: 0.8155, relative_absolute_error: 0.3587, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1658, root_relative_squared_error: 0.5527, scimark_benchmark: 1650.4426, usercpu_time_millis: 25500, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 25490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7215, f_measure: 0.0731, kappa: 0.1106, kb_relative_information_score: 476.4739, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.1455, predictive_accuracy: 0.1995, prior_entropy: 3.3219, recall: 0.1995, relative_absolute_error: 0.9186, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2874, root_relative_squared_error: 0.9581, scimark_benchmark: 1534.3349, usercpu_time_millis: 320, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.8009, kappa: 0.7806, kb_relative_information_score: 1474.4849, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8016, predictive_accuracy: 0.8025, prior_entropy: 3.3219, recall: 0.8025, relative_absolute_error: 0.4127, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.594, scimark_benchmark: 1466.884, usercpu_time_millis: 250, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.7665, kappa: 0.7394, kb_relative_information_score: 1558.7876, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7726, predictive_accuracy: 0.7655, prior_entropy: 3.3219, recall: 0.7655, relative_absolute_error: 0.2712, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.6456, scimark_benchmark: 1379.5055, usercpu_time_millis: 3420, usercpu_time_millis_testing: 3260, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.7615, kappa: 0.7289, kb_relative_information_score: 1501.9662, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.78, predictive_accuracy: 0.756, prior_entropy: 3.3219, recall: 0.756, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.7217, scimark_benchmark: 1429.1025, usercpu_time_millis: 807660, usercpu_time_millis_testing: 807660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.7757, kappa: 0.7522, kb_relative_information_score: 1568.1683, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7791, predictive_accuracy: 0.777, prior_entropy: 3.3219, recall: 0.777, relative_absolute_error: 0.2589, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.6411, scimark_benchmark: 1578.8361, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, f_measure: 0.8027, kappa: 0.7794, kb_relative_information_score: 1581.4626, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8058, predictive_accuracy: 0.8015, prior_entropy: 3.3219, recall: 0.8015, relative_absolute_error: 0.2249, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.6624, scimark_benchmark: 1413.1321, usercpu_time_millis: 1790, usercpu_time_millis_testing: 940, usercpu_time_millis_training: 850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.8379, kappa: 0.8178, kb_relative_information_score: 1669.3698, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8404, predictive_accuracy: 0.836, prior_entropy: 3.3219, recall: 0.836, relative_absolute_error: 0.1863, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1729, root_relative_squared_error: 0.5764, scimark_benchmark: 1425.938, usercpu_time_millis: 288450, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 288350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.7871, kappa: 0.765, kb_relative_information_score: 1369.0784, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7893, predictive_accuracy: 0.7885, prior_entropy: 3.3219, recall: 0.7885, relative_absolute_error: 0.4586, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1845, root_relative_squared_error: 0.6149, scimark_benchmark: 1604.4191, usercpu_time_millis: 8640, usercpu_time_millis_testing: 2890, usercpu_time_millis_training: 5750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6453, f_measure: 0.3467, kappa: 0.2906, kb_relative_information_score: 664.5677, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3374, predictive_accuracy: 0.3615, prior_entropy: 3.3219, recall: 0.3615, relative_absolute_error: 0.7094, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3574, root_relative_squared_error: 1.1912, scimark_benchmark: 1595.9655, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.6697, kappa: 0.6328, kb_relative_information_score: 1308.7543, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6706, predictive_accuracy: 0.6695, prior_entropy: 3.3219, recall: 0.6695, relative_absolute_error: 0.3672, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2571, root_relative_squared_error: 0.857, scimark_benchmark: 1596.4175, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.8022, kappa: 0.7794, kb_relative_information_score: 1638.9879, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8049, predictive_accuracy: 0.8015, prior_entropy: 3.3219, recall: 0.8015, relative_absolute_error: 0.2337, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1729, root_relative_squared_error: 0.5762, scimark_benchmark: 1481.5862, usercpu_time_millis: 16680, usercpu_time_millis_testing: 16680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.839, kappa: 0.82, kb_relative_information_score: 1686.8639, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8404, predictive_accuracy: 0.838, prior_entropy: 3.3219, recall: 0.838, relative_absolute_error: 0.2289, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.5042, scimark_benchmark: 1573.8495, usercpu_time_millis: 216020, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 215870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.8218, kappa: 0.8033, kb_relative_information_score: 573.6644, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8237, predictive_accuracy: 0.823, prior_entropy: 3.3219, recall: 0.823, relative_absolute_error: 0.8954, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2742, root_relative_squared_error: 0.914, scimark_benchmark: 1583.2717, usercpu_time_millis: 4060, usercpu_time_millis_testing: 3010, usercpu_time_millis_training: 1050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.8027, kappa: 0.7794, kb_relative_information_score: 1584.4584, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8058, predictive_accuracy: 0.8015, prior_entropy: 3.3219, recall: 0.8015, relative_absolute_error: 0.221, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.6639, scimark_benchmark: 1464.7245, usercpu_time_millis: 1030, usercpu_time_millis_testing: 1020, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.8177, kappa: 0.7972, kb_relative_information_score: 1665.1387, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8204, predictive_accuracy: 0.8175, prior_entropy: 3.3219, recall: 0.8175, relative_absolute_error: 0.2539, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.5338, scimark_benchmark: 1519.2644, usercpu_time_millis: 3390, usercpu_time_millis_testing: 3390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.8121, kappa: 0.7939, kb_relative_information_score: 1513.2773, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8113, predictive_accuracy: 0.8145, prior_entropy: 3.3219, recall: 0.8145, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.5536, scimark_benchmark: 1483.8182, usercpu_time_millis: 2850, usercpu_time_millis_training: 2850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.8287, kappa: 0.8094, kb_relative_information_score: 1669.1072, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.83, predictive_accuracy: 0.8285, prior_entropy: 3.3219, recall: 0.8285, relative_absolute_error: 0.2151, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.5443, scimark_benchmark: 1436.4978, usercpu_time_millis: 12670, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 12580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.7956, kappa: 0.7744, kb_relative_information_score: 1597.4432, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7988, predictive_accuracy: 0.797, prior_entropy: 3.3219, recall: 0.797, relative_absolute_error: 0.2565, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.6015, scimark_benchmark: 1385.0489, usercpu_time_millis: 3900, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.8535, kappa: 0.8378, kb_relative_information_score: 1579.5492, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8539, predictive_accuracy: 0.854, prior_entropy: 3.3219, recall: 0.854, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.5173, scimark_benchmark: 1552.0541, usercpu_time_millis: 1750, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 1630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.8526, kappa: 0.8367, kb_relative_information_score: 1587.0746, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8533, predictive_accuracy: 0.853, prior_entropy: 3.3219, recall: 0.853, relative_absolute_error: 0.3478, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.5149, scimark_benchmark: 1379.469, usercpu_time_millis: 1820, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 1700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.8339, kappa: 0.8156, kb_relative_information_score: 1638.1043, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8351, predictive_accuracy: 0.834, prior_entropy: 3.3219, recall: 0.834, relative_absolute_error: 0.2896, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.511, scimark_benchmark: 1658.0542, usercpu_time_millis: 6480, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 6440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.8301, kappa: 0.8117, kb_relative_information_score: 1645.6657, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8304, predictive_accuracy: 0.8305, prior_entropy: 3.3219, recall: 0.8305, relative_absolute_error: 0.2824, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.5072, scimark_benchmark: 1798.1705, usercpu_time_millis: 5590, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 5540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.8355, kappa: 0.8189, kb_relative_information_score: 1524.4567, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8353, predictive_accuracy: 0.837, prior_entropy: 3.3219, recall: 0.837, relative_absolute_error: 0.3954, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.163, root_relative_squared_error: 0.5434, scimark_benchmark: 1667.2906, usercpu_time_millis: 1290, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 1200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.8401, kappa: 0.8233, kb_relative_information_score: 1539.0536, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8407, predictive_accuracy: 0.841, prior_entropy: 3.3219, recall: 0.841, relative_absolute_error: 0.3841, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.5377, scimark_benchmark: 1765.2827, usercpu_time_millis: 1110, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1060,

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