OpenML
Having a Blast: Meta-Learning and Heterogeneous Ensembles for Data Streams

Having a Blast: Meta-Learning and Heterogeneous Ensembles for Data Streams

Created 22-03-2016 by Jan van Rijn Visibility: public
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Jan van Rijn 10 years ago
ran flow moa.HoeffdingOptionTree(1) on task Supervised Data Stream Classification on data set AirlinesCodrnaAdult
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.7916, kappa: 0.5862, kb_relative_information_score: 554313.2325, mean_absolute_error: 0.2495, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.8076, predictive_accuracy: 0.7911, prior_entropy: 1, recall: 0.7911, relative_absolute_error: 0.4991, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3825, root_relative_squared_error: 0.765,
Jan van Rijn 10 years ago
ran flow moa.HoeffdingOptionTree(1) on task Supervised Data Stream Classification on data set airlines
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, f_measure: 0.6309, kappa: 0.267, kb_relative_information_score: 106600.5319, mean_absolute_error: 0.4114, mean_prior_absolute_error: 0.5, number_of_instances: 539383, precision: 0.6648, predictive_accuracy: 0.6534, prior_entropy: 1, recall: 0.6534, relative_absolute_error: 0.8228, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4833, root_relative_squared_error: 0.9666,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set BNG(anneal)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.0222, kappa: 0, kb_relative_information_score: 17679.217, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0124, predictive_accuracy: 0.1084, prior_entropy: 2.585, recall: 0.1084, relative_absolute_error: 1.0699, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5449, root_relative_squared_error: 1.4622,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set BNG(kr-vs-kp)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.8883, kappa: 0.776, kb_relative_information_score: 476983.4348, mean_absolute_error: 0.2859, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8891, predictive_accuracy: 0.8885, prior_entropy: 1, recall: 0.8885, relative_absolute_error: 0.5718, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3353, root_relative_squared_error: 0.6705,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set 20_newsgroups.drift
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.77, f_measure: 0.9281, kappa: 0.0406, kb_relative_information_score: 336509.0717, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.5, number_of_instances: 399940, precision: 0.9353, predictive_accuracy: 0.9505, prior_entropy: 1, recall: 0.9505, relative_absolute_error: 0.1774, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.4129,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set AirlinesCodrnaAdult
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5652, f_measure: 0.5715, kappa: 0.1305, kb_relative_information_score: 154043.6754, mean_absolute_error: 0.4285, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.5715, predictive_accuracy: 0.5715, prior_entropy: 1, recall: 0.5715, relative_absolute_error: 0.8569, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6546, root_relative_squared_error: 1.3092,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set BNG(satimage)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6192, f_measure: 0.2479, kappa: 0.214, kb_relative_information_score: 244957.5536, mean_absolute_error: 0.2333, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.2372, predictive_accuracy: 0.3241, prior_entropy: 2.585, recall: 0.3241, relative_absolute_error: 0.8399, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4614, root_relative_squared_error: 1.2381,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set vehicleNorm
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.8394, kappa: 0.6795, kb_relative_information_score: 43872.6705, mean_absolute_error: 0.2974, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8427, predictive_accuracy: 0.8398, prior_entropy: 1, recall: 0.8398, relative_absolute_error: 0.5949, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7255,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set BNG(JapaneseVowels)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5591, f_measure: 0.0269, kappa: 0.0055, kb_relative_information_score: 89662.2229, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.1975, number_of_instances: 1000000, precision: 0.1092, predictive_accuracy: 0.1023, prior_entropy: 3.1699, recall: 0.1023, relative_absolute_error: 0.9908, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.4158, root_relative_squared_error: 1.323,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set codrnaNorm
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.5333, kappa: -0, kb_relative_information_score: 74625.1508, mean_absolute_error: 0.4377, mean_prior_absolute_error: 0.5, number_of_instances: 488565, precision: 0.5278, predictive_accuracy: 0.6667, prior_entropy: 1, recall: 0.6667, relative_absolute_error: 0.8753, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4651, root_relative_squared_error: 0.9302,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set Stagger1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9603, kappa: 0.785, kb_relative_information_score: 834879.9162, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9649, predictive_accuracy: 0.9635, prior_entropy: 1, recall: 0.9635, relative_absolute_error: 0.1873, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.3464,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set Agrawal1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5591, kappa: -0.0001, kb_relative_information_score: 118243.9981, mean_absolute_error: 0.4409, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.5592, predictive_accuracy: 0.5591, prior_entropy: 1, recall: 0.5591, relative_absolute_error: 0.8818, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.664, root_relative_squared_error: 1.328,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set Stagger3
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.987, kappa: 0.9707, kb_relative_information_score: 815165.0834, mean_absolute_error: 0.1117, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9873, predictive_accuracy: 0.9871, prior_entropy: 1, recall: 0.9871, relative_absolute_error: 0.2233, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.3192,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set Stagger2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.8859, kappa: 0.7689, kb_relative_information_score: 603864.7096, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9073, predictive_accuracy: 0.8888, prior_entropy: 1, recall: 0.8888, relative_absolute_error: 0.4251, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2945, root_relative_squared_error: 0.589,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set BNG(eucalyptus)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5169, f_measure: 0.1189, kappa: 0.0307, kb_relative_information_score: 84082.6787, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.1041, predictive_accuracy: 0.1956, prior_entropy: 2.3219, recall: 0.1956, relative_absolute_error: 1.0055, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.5671, root_relative_squared_error: 1.4178,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set BNG(SPECT)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, f_measure: 0.7695, kappa: 0.2326, kb_relative_information_score: 486834.3709, mean_absolute_error: 0.2721, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7914, predictive_accuracy: 0.8129, prior_entropy: 1, recall: 0.8129, relative_absolute_error: 0.5443, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7241,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set airlines
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5724, f_measure: 0.5752, kappa: 0.1403, kb_relative_information_score: 81148.4175, mean_absolute_error: 0.4248, mean_prior_absolute_error: 0.5, number_of_instances: 539383, precision: 0.5752, predictive_accuracy: 0.5752, prior_entropy: 1, recall: 0.5752, relative_absolute_error: 0.8496, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6508, root_relative_squared_error: 1.3015,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set BNG(wine)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6942, f_measure: 0.5104, kappa: 0.3646, kb_relative_information_score: 456455.6244, mean_absolute_error: 0.2648, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.4545, predictive_accuracy: 0.6029, prior_entropy: 1.585, recall: 0.6029, relative_absolute_error: 0.5957, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.512, root_relative_squared_error: 1.0862,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set BNG(sonar)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8002, f_measure: 0.7109, kappa: 0.4219, kb_relative_information_score: 190829.2462, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7222, predictive_accuracy: 0.7161, prior_entropy: 1, recall: 0.7161, relative_absolute_error: 0.8401, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4417, root_relative_squared_error: 0.8835,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set BNG(zoo)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7626, f_measure: 0.4841, kappa: 0.4241, kb_relative_information_score: 534159.1598, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.4536, predictive_accuracy: 0.5825, prior_entropy: 2.8074, recall: 0.5825, relative_absolute_error: 0.5251, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3345, root_relative_squared_error: 0.9558,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set BNG(vehicle)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.1699, kappa: -0.0003, kb_relative_information_score: 100635.5331, mean_absolute_error: 0.3727, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.1412, predictive_accuracy: 0.2546, prior_entropy: 2, recall: 0.2546, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.6066, root_relative_squared_error: 1.401,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set BNG(solar-flare)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5529, f_measure: 0.1515, kappa: 0.0842, kb_relative_information_score: 191649.2758, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.1502, predictive_accuracy: 0.2616, prior_entropy: 2.585, recall: 0.2616, relative_absolute_error: 0.9122, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4707, root_relative_squared_error: 1.2631,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set RandomRBF_50_1E-4
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5062, f_measure: 0.0475, kappa: 0, kb_relative_information_score: 101871.3687, mean_absolute_error: 0.3231, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.117, predictive_accuracy: 0.1663, prior_entropy: 2.3219, recall: 0.1663, relative_absolute_error: 1.0098, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4953, root_relative_squared_error: 1.2382,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set BNG(credit-a)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6564, f_measure: 0.6499, kappa: 0.2933, kb_relative_information_score: 297028.0342, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.651, predictive_accuracy: 0.6493, prior_entropy: 1, recall: 0.6493, relative_absolute_error: 0.7034, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5838, root_relative_squared_error: 1.1676,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set BNG(vowel)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5046, f_measure: 0.0365, kappa: 0.0087, kb_relative_information_score: 82998.5625, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.1653, number_of_instances: 1000000, precision: 0.0618, predictive_accuracy: 0.0988, prior_entropy: 3.4594, recall: 0.0988, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.3883, root_relative_squared_error: 1.3507,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set BNG(waveform-5000)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7237, f_measure: 0.4696, kappa: 0.3494, kb_relative_information_score: 369293.6901, mean_absolute_error: 0.3154, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.4281, predictive_accuracy: 0.5663, prior_entropy: 1.585, recall: 0.5663, relative_absolute_error: 0.7096, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0643,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set BNG(hepatitis)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8541, f_measure: 0.8395, kappa: 0.5004, kb_relative_information_score: 633114.8082, mean_absolute_error: 0.1903, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8369, predictive_accuracy: 0.8439, prior_entropy: 1, recall: 0.8439, relative_absolute_error: 0.3807, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.6852,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set IMDB.drama
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5074, f_measure: 0.4969, kb_relative_information_score: 8999.3844, mean_absolute_error: 0.4713, mean_prior_absolute_error: 0.5, number_of_instances: 120919, precision: 0.407, predictive_accuracy: 0.6379, prior_entropy: 1, recall: 0.6379, relative_absolute_error: 0.9427, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4829, root_relative_squared_error: 0.9658,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set BNG(tic-tac-toe)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5991, f_measure: 0.5158, kappa: -0.0016, kb_relative_information_score: 4839.2932, mean_absolute_error: 0.4502, mean_prior_absolute_error: 0.5, number_of_instances: 39366, precision: 0.4867, predictive_accuracy: 0.6519, prior_entropy: 1, recall: 0.6519, relative_absolute_error: 0.9003, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4713, root_relative_squared_error: 0.9426,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set BNG(dermatology)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6797, f_measure: 0.3658, kappa: 0.3279, kb_relative_information_score: 407472.4236, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.3412, predictive_accuracy: 0.4678, prior_entropy: 2.585, recall: 0.4678, relative_absolute_error: 0.6523, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4174, root_relative_squared_error: 1.1201,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set BNG(heart-statlog)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.7834, kappa: 0.5615, kb_relative_information_score: 555904.567, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7835, predictive_accuracy: 0.7834, prior_entropy: 1, recall: 0.7834, relative_absolute_error: 0.4469, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.8591,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set BNG(heart-c)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8174, f_measure: 0.7387, kappa: 0.4797, kb_relative_information_score: 710958.2761, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.7369, predictive_accuracy: 0.7405, prior_entropy: 2.3219, recall: 0.7405, relative_absolute_error: 0.3331, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2968, root_relative_squared_error: 0.7421,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set BNG(pendigits)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5642, f_measure: 0.1016, kappa: 0.0862, kb_relative_information_score: 145864.2157, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.0949, predictive_accuracy: 0.1811, prior_entropy: 3.3219, recall: 0.1811, relative_absolute_error: 0.9121, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4005, root_relative_squared_error: 1.3352,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set BNG(colic.ORIG)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.6903, kappa: 0.3027, kb_relative_information_score: 354981.5788, mean_absolute_error: 0.3263, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6884, predictive_accuracy: 0.693, prior_entropy: 1, recall: 0.693, relative_absolute_error: 0.6526, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4897, root_relative_squared_error: 0.9793,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set BNG(credit-g)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5225, f_measure: 0.598, kappa: 0.0439, kb_relative_information_score: 195446.7296, mean_absolute_error: 0.4023, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.5983, predictive_accuracy: 0.5977, prior_entropy: 1, recall: 0.5977, relative_absolute_error: 0.8046, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6338, root_relative_squared_error: 1.2676,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set BNG(page-blocks)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5397, f_measure: 0.8294, kappa: 0.0585, kb_relative_information_score: 241506.7077, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8193, predictive_accuracy: 0.8401, prior_entropy: 2.3219, recall: 0.8401, relative_absolute_error: 0.1999, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2526, root_relative_squared_error: 0.6315,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set BNG(mfeat-fourier)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5545, f_measure: 0.0305, kappa: 0.0072, kb_relative_information_score: 104490.2468, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.1102, predictive_accuracy: 0.1064, prior_entropy: 3.3219, recall: 0.1064, relative_absolute_error: 0.975, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3974, root_relative_squared_error: 1.3248,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set BNG(lymph)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.486, f_measure: 0.3834, kappa: 0.0011, kb_relative_information_score: 444376.1781, mean_absolute_error: 0.2315, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.31, predictive_accuracy: 0.5438, prior_entropy: 2, recall: 0.5438, relative_absolute_error: 0.6174, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.473, root_relative_squared_error: 1.0923,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set BNG(bridges_version1)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5019, f_measure: 0.0458, kappa: 0.0035, kb_relative_information_score: 24650.9791, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0376, predictive_accuracy: 0.1147, prior_entropy: 2.585, recall: 0.1147, relative_absolute_error: 1.0624, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5431, root_relative_squared_error: 1.4572,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set BNG(cmc)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5907, f_measure: 0.2878, kappa: 0.1036, kb_relative_information_score: 6310.2729, mean_absolute_error: 0.4423, mean_prior_absolute_error: 0.4444, number_of_instances: 55296, precision: 0.3199, predictive_accuracy: 0.3522, prior_entropy: 1.585, recall: 0.3522, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.538, root_relative_squared_error: 1.1412,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set BNG(letter)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5176, f_measure: 0.0219, kappa: 0.0137, kb_relative_information_score: 48732.3963, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.035, predictive_accuracy: 0.0516, prior_entropy: 4.7004, recall: 0.0516, relative_absolute_error: 0.986, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2663, root_relative_squared_error: 1.385,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set SEA(50)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8706, f_measure: 0.8199, kappa: 0.6149, kb_relative_information_score: 416324.4799, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8337, predictive_accuracy: 0.8266, prior_entropy: 1, recall: 0.8266, relative_absolute_error: 0.6245, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3789, root_relative_squared_error: 0.7578,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set BNG(labor)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9085, kappa: 0.7979, kb_relative_information_score: 713996.7646, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9096, predictive_accuracy: 0.9096, prior_entropy: 1, recall: 0.9096, relative_absolute_error: 0.3112, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2614, root_relative_squared_error: 0.5228,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set RandomRBF_10_1E-3
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5427, f_measure: 0.0511, kappa: -0.0012, kb_relative_information_score: 117203.7825, mean_absolute_error: 0.3199, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.091, predictive_accuracy: 0.1661, prior_entropy: 2.3219, recall: 0.1661, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4942, root_relative_squared_error: 1.2354,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set SEA(50000)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.8171, kappa: 0.6089, kb_relative_information_score: 413485.2991, mean_absolute_error: 0.3135, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.831, predictive_accuracy: 0.824, prior_entropy: 1, recall: 0.824, relative_absolute_error: 0.6271, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.38, root_relative_squared_error: 0.7599,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set electricity
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5657, f_measure: 0.4484, kappa: 0.025, kb_relative_information_score: 1691.439, mean_absolute_error: 0.4856, mean_prior_absolute_error: 0.5, number_of_instances: 45312, precision: 0.6216, predictive_accuracy: 0.583, prior_entropy: 1, recall: 0.583, relative_absolute_error: 0.9713, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.492, root_relative_squared_error: 0.9839,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set RandomRBF_10_1E-4
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5417, f_measure: 0.051, kappa: -0.0016, kb_relative_information_score: 116967.1808, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.0903, predictive_accuracy: 0.1658, prior_entropy: 2.3219, recall: 0.1658, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4944, root_relative_squared_error: 1.236,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set CovPokElec
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7416, f_measure: 0.6204, kappa: 0.3767, kb_relative_information_score: 996535.5256, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.18, number_of_instances: 1455525, precision: 0.5911, predictive_accuracy: 0.6556, prior_entropy: 3.3219, recall: 0.6556, relative_absolute_error: 0.4725, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.7506,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set RandomRBF_50_1E-3
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.0474, kappa: -0, kb_relative_information_score: 101014.695, mean_absolute_error: 0.3233, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.0277, predictive_accuracy: 0.1663, prior_entropy: 2.3219, recall: 0.1663, relative_absolute_error: 1.0105, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4953, root_relative_squared_error: 1.2382,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set RandomRBF_0_0
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5346, f_measure: 0.05, kappa: -0.0013, kb_relative_information_score: 113690.1649, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.0843, predictive_accuracy: 0.1659, prior_entropy: 2.3219, recall: 0.1659, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.2372,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set covertype
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6825, f_measure: 0.5521, kappa: 0.2815, kb_relative_information_score: 343200.2474, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.2449, number_of_instances: 581012, precision: 0.5317, predictive_accuracy: 0.6074, prior_entropy: 2.8074, recall: 0.6074, relative_absolute_error: 0.5658, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2865, root_relative_squared_error: 0.8187,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set pokerhand
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.6438, kappa: 0.3842, kb_relative_information_score: 586977.7532, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.18, number_of_instances: 829201, precision: 0.6187, predictive_accuracy: 0.6715, prior_entropy: 3.3219, recall: 0.6715, relative_absolute_error: 0.454, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.722,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set Hyperplane_10_1E-4
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.7755, kappa: 0.5592, kb_relative_information_score: 654787.3504, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8019, predictive_accuracy: 0.7796, prior_entropy: 2.3219, recall: 0.7796, relative_absolute_error: 0.5195, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.6798,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set LED(50000)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5294, f_measure: 0.0346, kappa: 0.01, kb_relative_information_score: 94127.6079, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.0832, predictive_accuracy: 0.109, prior_entropy: 3.3219, recall: 0.109, relative_absolute_error: 0.9831, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3991, root_relative_squared_error: 1.3302,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set Hyperplane_10_1E-3
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7755, f_measure: 0.7013, kappa: 0.4065, kb_relative_information_score: 626501.0435, mean_absolute_error: 0.1746, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.7085, predictive_accuracy: 0.7032, prior_entropy: 2.3219, recall: 0.7032, relative_absolute_error: 0.5456, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2874, root_relative_squared_error: 0.7184,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set BNG(ionosphere)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.8237, kappa: 0.609, kb_relative_information_score: 487031.8286, mean_absolute_error: 0.2767, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8457, predictive_accuracy: 0.8336, prior_entropy: 1, recall: 0.8336, relative_absolute_error: 0.5535, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7059,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set BNG(vote)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.9183, kappa: 0.8273, kb_relative_information_score: 77980.5484, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.5, number_of_instances: 131072, precision: 0.9183, predictive_accuracy: 0.9185, prior_entropy: 1, recall: 0.9185, relative_absolute_error: 0.4513, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2849, root_relative_squared_error: 0.5698,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set BNG(trains)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.857, kappa: 0.7142, kb_relative_information_score: 530333.3546, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8579, predictive_accuracy: 0.8571, prior_entropy: 1, recall: 0.8571, relative_absolute_error: 0.5069, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3322, root_relative_squared_error: 0.6644,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set BNG(spambase)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6401, f_measure: 0.4821, kappa: 0.0297, kb_relative_information_score: 83458.1946, mean_absolute_error: 0.4665, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6771, predictive_accuracy: 0.6145, prior_entropy: 1, recall: 0.6145, relative_absolute_error: 0.9331, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4788, root_relative_squared_error: 0.9577,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set BNG(soybean)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5144, f_measure: 0.0213, kappa: 0.0154, kb_relative_information_score: 30996.3675, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.0292, predictive_accuracy: 0.0444, prior_entropy: 4.2479, recall: 0.0444, relative_absolute_error: 1.0097, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.3134, root_relative_squared_error: 1.4036,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set BNG(segment)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6269, f_measure: 0.1061, kappa: 0.0553, kb_relative_information_score: 158936.6342, mean_absolute_error: 0.2274, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.1435, predictive_accuracy: 0.1909, prior_entropy: 2.8074, recall: 0.1909, relative_absolute_error: 0.9287, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4477, root_relative_squared_error: 1.2795,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set BNG(optdigits)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5771, f_measure: 0.1119, kappa: 0.0975, kb_relative_information_score: 151286.671, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.1076, predictive_accuracy: 0.1887, prior_entropy: 3.3219, recall: 0.1887, relative_absolute_error: 0.9087, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.398, root_relative_squared_error: 1.3267,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set BNG(mushroom)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.8896, kappa: 0.7789, kb_relative_information_score: 643617.5258, mean_absolute_error: 0.1954, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8914, predictive_accuracy: 0.8899, prior_entropy: 1, recall: 0.8899, relative_absolute_error: 0.3909, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.5838,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set adult
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.6354, kappa: -0.0031, kb_relative_information_score: 13290, mean_absolute_error: 0.3639, mean_prior_absolute_error: 0.5, number_of_instances: 48842, precision: 0.6348, predictive_accuracy: 0.6361, prior_entropy: 1, recall: 0.6361, relative_absolute_error: 0.7279, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6033, root_relative_squared_error: 1.2066,
Jan van Rijn 10 years ago
ran flow moa.Perceptron(1) on task Supervised Data Stream Classification on data set AirlinesCodrnaAdult
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4804, f_measure: 0.41, kappa: -0.0433, kb_relative_information_score: 74852, mean_absolute_error: 0.4652, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.4174, predictive_accuracy: 0.5348, prior_entropy: 1, recall: 0.5348, relative_absolute_error: 0.9305, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6821, root_relative_squared_error: 1.3642,
Jan van Rijn 10 years ago
ran flow moa.Perceptron(1) on task Supervised Data Stream Classification on data set vehicleNorm
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8848, f_measure: 0.8449, kappa: 0.6909, kb_relative_information_score: 67353.5574, mean_absolute_error: 0.1585, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8503, predictive_accuracy: 0.8455, prior_entropy: 1, recall: 0.8455, relative_absolute_error: 0.317, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.7603,
Jan van Rijn 10 years ago
ran flow moa.Perceptron(1) on task Supervised Data Stream Classification on data set Stagger3
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 996256.9149, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0051, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.006, root_relative_squared_error: 0.0119,
Jan van Rijn 10 years ago
ran flow moa.Perceptron(1) on task Supervised Data Stream Classification on data set codrnaNorm
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9445, kappa: 0.8752, kb_relative_information_score: 387205.5149, mean_absolute_error: 0.1153, mean_prior_absolute_error: 0.5, number_of_instances: 488565, precision: 0.9445, predictive_accuracy: 0.9445, prior_entropy: 1, recall: 0.9445, relative_absolute_error: 0.2306, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.4263,
Jan van Rijn 10 years ago
ran flow moa.Perceptron(1) on task Supervised Data Stream Classification on data set Stagger2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.8859, kappa: 0.7723, kb_relative_information_score: 758749.2115, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8974, predictive_accuracy: 0.8856, prior_entropy: 1, recall: 0.8856, relative_absolute_error: 0.2444, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3273, root_relative_squared_error: 0.6545,
Jan van Rijn 10 years ago
ran flow moa.Perceptron(1) on task Supervised Data Stream Classification on data set Stagger1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 0.9999, kb_relative_information_score: 996409.0358, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0049, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0075, root_relative_squared_error: 0.0151,
Jan van Rijn 10 years ago
ran flow moa.Perceptron(1) on task Supervised Data Stream Classification on data set airlines
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3957, kappa: 0, kb_relative_information_score: 58607.4259, mean_absolute_error: 0.4457, mean_prior_absolute_error: 0.5, number_of_instances: 539383, precision: 0.5674, predictive_accuracy: 0.5546, prior_entropy: 1, recall: 0.5546, relative_absolute_error: 0.8913, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6674, root_relative_squared_error: 1.3349,
Jan van Rijn 10 years ago
ran flow moa.HoeffdingOptionTree(1) on task Supervised Data Stream Classification on data set vehicleNorm
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.8258, kappa: 0.6535, kb_relative_information_score: 52727.7132, mean_absolute_error: 0.2477, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.834, predictive_accuracy: 0.8268, prior_entropy: 1, recall: 0.8268, relative_absolute_error: 0.4953, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.366, root_relative_squared_error: 0.7321,
Jan van Rijn 10 years ago
ran flow moa.HoeffdingOptionTree(1) on task Supervised Data Stream Classification on data set codrnaNorm
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9519, kappa: 0.8921, kb_relative_information_score: 424596.8864, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.5, number_of_instances: 488565, precision: 0.9521, predictive_accuracy: 0.9518, prior_entropy: 1, recall: 0.9518, relative_absolute_error: 0.1404, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.3844,
Jan van Rijn 10 years ago
ran flow moa.HoeffdingOptionTree(1) on task Supervised Data Stream Classification on data set Stagger3
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 999979.1578, mean_absolute_error: 0, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0018, root_relative_squared_error: 0.0036,
Jan van Rijn 10 years ago
ran flow moa.HoeffdingOptionTree(1) on task Supervised Data Stream Classification on data set Stagger2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 999525.2713, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0006, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0072, root_relative_squared_error: 0.0145,
Jan van Rijn 10 years ago
ran flow moa.HoeffdingOptionTree(1) on task Supervised Data Stream Classification on data set Stagger1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 999693.9835, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0004, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0073, root_relative_squared_error: 0.0146,
Jan van Rijn 10 years ago
ran flow moa.HoeffdingOptionTree(1) on task Supervised Data Stream Classification on data set Agrawal1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9492, kappa: 0.8848, kb_relative_information_score: 868139.876, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9492, predictive_accuracy: 0.9492, prior_entropy: 1, recall: 0.9492, relative_absolute_error: 0.1387, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.3774,
Jan van Rijn 10 years ago
ran flow moa.RuleClassifier(1) on task Supervised Data Stream Classification on data set Agrawal1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.8348, kappa: 0.6168, kb_relative_information_score: 698807.5022, mean_absolute_error: 0.1503, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8397, predictive_accuracy: 0.8407, prior_entropy: 1, recall: 0.8407, relative_absolute_error: 0.3005, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2977, root_relative_squared_error: 0.5954,
Jan van Rijn 10 years ago
ran flow moa.SPegasos(1) on task Supervised Data Stream Classification on data set AirlinesCodrnaAdult
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5651, f_measure: 0.5714, kappa: 0.1301, kb_relative_information_score: 153680, mean_absolute_error: 0.4286, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.5714, predictive_accuracy: 0.5714, prior_entropy: 1, recall: 0.5714, relative_absolute_error: 0.8573, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6547, root_relative_squared_error: 1.3094,
Jan van Rijn 10 years ago
ran flow moa.SPegasos(1) on task Supervised Data Stream Classification on data set vehicleNorm
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7822, f_measure: 0.7822, kappa: 0.5644, kb_relative_information_score: 55610, mean_absolute_error: 0.2178, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.7822, predictive_accuracy: 0.7822, prior_entropy: 1, recall: 0.7822, relative_absolute_error: 0.4356, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4667, root_relative_squared_error: 0.9334,
Jan van Rijn 10 years ago
ran flow moa.SPegasos(1) on task Supervised Data Stream Classification on data set codrnaNorm
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.9429, kappa: 0.8717, kb_relative_information_score: 432741, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.5, number_of_instances: 488565, precision: 0.943, predictive_accuracy: 0.9429, prior_entropy: 1, recall: 0.9429, relative_absolute_error: 0.1143, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.239, root_relative_squared_error: 0.478,
Jan van Rijn 10 years ago
ran flow moa.HoeffdingAdaptiveTree(1) on task Supervised Data Stream Classification on data set AirlinesCodrnaAdult
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, f_measure: 0.7865, kappa: 0.5705, kb_relative_information_score: 566154.3268, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.7912, predictive_accuracy: 0.7858, prior_entropy: 1, recall: 0.7858, relative_absolute_error: 0.4841, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207,
Jan van Rijn 10 years ago
ran flow moa.HoeffdingAdaptiveTree(1) on task Supervised Data Stream Classification on data set vehicleNorm
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.8317, kappa: 0.6646, kb_relative_information_score: 55856.068, mean_absolute_error: 0.2293, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8372, predictive_accuracy: 0.8323, prior_entropy: 1, recall: 0.8323, relative_absolute_error: 0.4586, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.7604,
Jan van Rijn 10 years ago
ran flow moa.HoeffdingAdaptiveTree(1) on task Supervised Data Stream Classification on data set codrnaNorm
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9464, kappa: 0.8796, kb_relative_information_score: 419463.7402, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.5, number_of_instances: 488565, precision: 0.9466, predictive_accuracy: 0.9462, prior_entropy: 1, recall: 0.9462, relative_absolute_error: 0.151, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.4133,
Jan van Rijn 10 years ago
ran flow moa.HoeffdingAdaptiveTree(1) on task Supervised Data Stream Classification on data set Stagger3
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 999983.3088, mean_absolute_error: 0, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0018, root_relative_squared_error: 0.0035,
Jan van Rijn 10 years ago
ran flow moa.HoeffdingAdaptiveTree(1) on task Supervised Data Stream Classification on data set Stagger2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 999657.7376, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0004, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0063, root_relative_squared_error: 0.0127,
Jan van Rijn 10 years ago
ran flow moa.HoeffdingAdaptiveTree(1) on task Supervised Data Stream Classification on data set Agrawal1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9466, kappa: 0.8794, kb_relative_information_score: 848543.1246, mean_absolute_error: 0.0819, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.947, predictive_accuracy: 0.9465, prior_entropy: 1, recall: 0.9465, relative_absolute_error: 0.1638, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.4171,
Jan van Rijn 10 years ago
ran flow moa.HoeffdingAdaptiveTree(1) on task Supervised Data Stream Classification on data set Stagger1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 0.9999, kb_relative_information_score: 999752.7974, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0003, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.007, root_relative_squared_error: 0.0139,
Jan van Rijn 10 years ago
ran flow moa.HoeffdingAdaptiveTree(1) on task Supervised Data Stream Classification on data set airlines
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6415, f_measure: 0.6311, kappa: 0.2522, kb_relative_information_score: 117385.9814, mean_absolute_error: 0.3966, mean_prior_absolute_error: 0.5, number_of_instances: 539383, precision: 0.6353, predictive_accuracy: 0.6381, prior_entropy: 1, recall: 0.6381, relative_absolute_error: 0.7931, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5306, root_relative_squared_error: 1.0613,
Jan van Rijn 10 years ago
ran flow moa.RuleClassifier(1) on task Supervised Data Stream Classification on data set AirlinesCodrnaAdult
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7709, f_measure: 0.6894, kappa: 0.3739, kb_relative_information_score: 299433.8982, mean_absolute_error: 0.3686, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.6927, predictive_accuracy: 0.6884, prior_entropy: 1, recall: 0.6884, relative_absolute_error: 0.7371, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.8728,
Jan van Rijn 10 years ago
ran flow moa.RuleClassifier(1) on task Supervised Data Stream Classification on data set vehicleNorm
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7937, f_measure: 0.7467, kappa: 0.5063, kb_relative_information_score: 34678.6849, mean_absolute_error: 0.3363, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.7819, predictive_accuracy: 0.7532, prior_entropy: 1, recall: 0.7532, relative_absolute_error: 0.6726, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8246,
Jan van Rijn 10 years ago
ran flow moa.RuleClassifier(1) on task Supervised Data Stream Classification on data set codrnaNorm
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.8181, kappa: 0.5938, kb_relative_information_score: 286885.602, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.5, number_of_instances: 488565, precision: 0.8199, predictive_accuracy: 0.8169, prior_entropy: 1, recall: 0.8169, relative_absolute_error: 0.422, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3417, root_relative_squared_error: 0.6835,
Jan van Rijn 10 years ago
ran flow moa.RuleClassifier(1) on task Supervised Data Stream Classification on data set Stagger3
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9996, kb_relative_information_score: 999611.204, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 1, recall: 0.9998, relative_absolute_error: 0.0004, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.01, root_relative_squared_error: 0.0201,
Jan van Rijn 10 years ago
ran flow moa.RuleClassifier(1) on task Supervised Data Stream Classification on data set Stagger2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9984, kappa: 0.9967, kb_relative_information_score: 737328.8153, mean_absolute_error: 0.1494, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9984, predictive_accuracy: 0.9984, prior_entropy: 1, recall: 0.9984, relative_absolute_error: 0.2988, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.224, root_relative_squared_error: 0.448,
Jan van Rijn 10 years ago
ran flow moa.RuleClassifier(1) on task Supervised Data Stream Classification on data set Stagger1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9991, kappa: 0.9952, kb_relative_information_score: 997196.7578, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 1, recall: 0.9991, relative_absolute_error: 0.0031, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0278, root_relative_squared_error: 0.0555,
Jan van Rijn 10 years ago
ran flow moa.RuleClassifier(1) on task Supervised Data Stream Classification on data set airlines
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6416, f_measure: 0.6046, kappa: 0.1974, kb_relative_information_score: 50188.3485, mean_absolute_error: 0.4612, mean_prior_absolute_error: 0.5, number_of_instances: 539383, precision: 0.605, predictive_accuracy: 0.6087, prior_entropy: 1, recall: 0.6087, relative_absolute_error: 0.9225, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4823, root_relative_squared_error: 0.9646,
Jan van Rijn 10 years ago
ran flow moa.OzaBoost_HoeffdingTree(1) on task Supervised Data Stream Classification on data set AirlinesCodrnaAdult
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.7865, kappa: 0.5677, kb_relative_information_score: 409453.9618, mean_absolute_error: 0.3243, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.7872, predictive_accuracy: 0.7861, prior_entropy: 1, recall: 0.7861, relative_absolute_error: 0.6486, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.384, root_relative_squared_error: 0.768,
Jan van Rijn 10 years ago
ran flow moa.LeveragingBag_HoeffdingTree(1) on task Supervised Data Stream Classification on data set AirlinesCodrnaAdult
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, f_measure: 0.7882, kappa: 0.5734, kb_relative_information_score: 563997.1763, mean_absolute_error: 0.2443, mean_prior_absolute_error: 0.5, number_of_instances: 1076790, precision: 0.7921, predictive_accuracy: 0.7875, prior_entropy: 1, recall: 0.7875, relative_absolute_error: 0.4885, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.7884,
Jan van Rijn 10 years ago
ran flow moa.OzaBoost_HoeffdingTree(1) on task Supervised Data Stream Classification on data set vehicleNorm
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8761, f_measure: 0.8176, kappa: 0.6361, kb_relative_information_score: 37544.7508, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8208, predictive_accuracy: 0.818, prior_entropy: 1, recall: 0.818, relative_absolute_error: 0.6603, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.7605,
Jan van Rijn 10 years ago
ran flow moa.OzaBoost_HoeffdingTree(1) on task Supervised Data Stream Classification on data set codrnaNorm
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9546, kappa: 0.8981, kb_relative_information_score: 313820.0892, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.5, number_of_instances: 488565, precision: 0.9548, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.4089, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2545, root_relative_squared_error: 0.5091,