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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6231, f_measure: 0.6806, kappa: 0.2436, kb_relative_information_score: 0.1803, mean_absolute_error: 0.321, mean_prior_absolute_error: 0.4202, weighted_recall: 0.679, number_of_instances: 1000, precision: 0.6824, predictive_accuracy: 0.679, prior_entropy: 0.8813, relative_absolute_error: 0.764, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5666, root_relative_squared_error: 1.2364, unweighted_recall: 0.6231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7338, f_measure: 0.7524, kappa: 0.4648, kb_relative_information_score: 0.4523, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.1867, weighted_recall: 0.7517, number_of_instances: 294, precision: 0.7533, predictive_accuracy: 0.7517, prior_entropy: 0.9577, relative_absolute_error: 0.532, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.3152, root_relative_squared_error: 1.0377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9628, kappa: 0.9586, kb_relative_information_score: 0.9611, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.18, weighted_recall: 0.9628, number_of_instances: 10992, precision: 0.9628, predictive_accuracy: 0.9628, prior_entropy: 3.3208, relative_absolute_error: 0.0414, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0863, root_relative_squared_error: 0.2876, unweighted_recall: 0.9628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.62, f_measure: 0.6803, kappa: 0.2395, kb_relative_information_score: 0.1829, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4202, weighted_recall: 0.68, number_of_instances: 1000, precision: 0.6806, predictive_accuracy: 0.68, prior_entropy: 0.8813, relative_absolute_error: 0.7616, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.2344, unweighted_recall: 0.62,
Applies transformers to columns of an array or pandas DataFrame. This estimator allows different columns or column subsets of the input to be transformed separately and the features generated by each…
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Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
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Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
4 runs0 likes0 downloads0 reach0 impact
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9643, kappa: 0.9604, kb_relative_information_score: 0.9627, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.18, weighted_recall: 0.9643, number_of_instances: 10992, precision: 0.9643, predictive_accuracy: 0.9643, prior_entropy: 3.3208, relative_absolute_error: 0.0396, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0845, root_relative_squared_error: 0.2815, unweighted_recall: 0.9643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9639, kappa: 0.9599, kb_relative_information_score: 0.9622, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.18, weighted_recall: 0.9639, number_of_instances: 10992, precision: 0.9639, predictive_accuracy: 0.9639, prior_entropy: 3.3208, relative_absolute_error: 0.0401, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.085, root_relative_squared_error: 0.2833, unweighted_recall: 0.9639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9632, kappa: 0.9591, kb_relative_information_score: 0.9615, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.18, weighted_recall: 0.9632, number_of_instances: 10992, precision: 0.9632, predictive_accuracy: 0.9632, prior_entropy: 3.3208, relative_absolute_error: 0.0409, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0858, root_relative_squared_error: 0.2862, unweighted_recall: 0.9632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9629, kappa: 0.9588, kb_relative_information_score: 0.9612, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.18, weighted_recall: 0.9629, number_of_instances: 10992, precision: 0.9629, predictive_accuracy: 0.9629, prior_entropy: 3.3208, relative_absolute_error: 0.0412, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0862, root_relative_squared_error: 0.2872, unweighted_recall: 0.9629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9629, kappa: 0.9588, kb_relative_information_score: 0.9612, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.18, weighted_recall: 0.9629, number_of_instances: 10992, precision: 0.9629, predictive_accuracy: 0.9629, prior_entropy: 3.3208, relative_absolute_error: 0.0412, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0862, root_relative_squared_error: 0.2872, unweighted_recall: 0.9629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9632, kappa: 0.9592, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.18, weighted_recall: 0.9632, number_of_instances: 10992, precision: 0.9633, predictive_accuracy: 0.9632, prior_entropy: 3.3208, relative_absolute_error: 0.0408, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0857, root_relative_squared_error: 0.2858, unweighted_recall: 0.9633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9626, kappa: 0.9584, kb_relative_information_score: 0.9609, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.18, weighted_recall: 0.9626, number_of_instances: 10992, precision: 0.9626, predictive_accuracy: 0.9626, prior_entropy: 3.3208, relative_absolute_error: 0.0416, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0865, root_relative_squared_error: 0.2883, unweighted_recall: 0.9626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9625, kappa: 0.9583, kb_relative_information_score: 0.9608, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.18, weighted_recall: 0.9625, number_of_instances: 10992, precision: 0.9625, predictive_accuracy: 0.9625, prior_entropy: 3.3208, relative_absolute_error: 0.0417, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.2886, unweighted_recall: 0.9625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9629, kappa: 0.9588, kb_relative_information_score: 0.9612, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.18, weighted_recall: 0.9629, number_of_instances: 10992, precision: 0.9629, predictive_accuracy: 0.9629, prior_entropy: 3.3208, relative_absolute_error: 0.0412, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0862, root_relative_squared_error: 0.2872, unweighted_recall: 0.9628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.962, kappa: 0.9577, kb_relative_information_score: 0.9602, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, weighted_recall: 0.962, number_of_instances: 10992, precision: 0.962, predictive_accuracy: 0.962, prior_entropy: 3.3208, relative_absolute_error: 0.0423, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0872, root_relative_squared_error: 0.2907, unweighted_recall: 0.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9636, kappa: 0.9596, kb_relative_information_score: 0.962, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.18, weighted_recall: 0.9636, number_of_instances: 10992, precision: 0.9636, predictive_accuracy: 0.9636, prior_entropy: 3.3208, relative_absolute_error: 0.0404, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0853, root_relative_squared_error: 0.2844, unweighted_recall: 0.9637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9644, kappa: 0.9605, kb_relative_information_score: 0.9628, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.18, weighted_recall: 0.9644, number_of_instances: 10992, precision: 0.9645, predictive_accuracy: 0.9644, prior_entropy: 3.3208, relative_absolute_error: 0.0395, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.2812, unweighted_recall: 0.9644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9633, kappa: 0.9592, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.18, weighted_recall: 0.9632, number_of_instances: 10992, precision: 0.9633, predictive_accuracy: 0.9632, prior_entropy: 3.3208, relative_absolute_error: 0.0408, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0857, root_relative_squared_error: 0.2858, unweighted_recall: 0.9632,
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
4 runs0 likes0 downloads0 reach0 impact
Imputation transformer for completing missing values.
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9627, kappa: 0.9585, kb_relative_information_score: 0.961, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.18, weighted_recall: 0.9627, number_of_instances: 10992, precision: 0.9627, predictive_accuracy: 0.9627, prior_entropy: 3.3208, relative_absolute_error: 0.0415, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0864, root_relative_squared_error: 0.2879, unweighted_recall: 0.9627,
Peter Matulla
Germany Joined 2021-10-18
0 uploads 1 activity 0 reach 0 impact
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9633, kappa: 0.9593, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.18, weighted_recall: 0.9633, number_of_instances: 10992, precision: 0.9634, predictive_accuracy: 0.9633, prior_entropy: 3.3208, relative_absolute_error: 0.0407, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2855, unweighted_recall: 0.9633,
Martin Milton
?esko Joined 2021-10-18
0 uploads 0.5 activity 0 reach 0 impact
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : f_measure - target_feature : class
b oz
nederland Joined 2021-10-15
6 uploads 7.5 activity 0 reach 0 impact
Thierry Marcelin
N/A Taiwan Joined 2021-10-15
0 uploads 0.5 activity 0 reach 0 impact
MBULAYI ONESIME
research assistant in Bioinformatics
University of kinshasa Congo Joined 2021-10-14
0 uploads 5.5 activity 0 reach 0 impact
Payroll Gratis
OpenML, ide kereatif bagi penggiat IT, platform ini sangat berguna untuk mengembangkan sistem. Begitu juga yang dilakukan oleh Kayaroll, penggagas payrol atau sistem penggajian berbasis IT yang mudah digunakan. Hadir di Indonesia, mengusung solusi bagi pelaku usaha, UMKM atau startup yang sedang tumbuh dengan baik. Bagi Anda yang ingin tau lebih banyak, melalui tautan yang disertakan, sila mengunjungi situs resmi Kayaroll. Saat ini sedang membagikan alpikasi payroll berbasis web secara cuma-cuma untuk 100 pendaftar pertama. Aplikasi Payroll Gratis Indonesia
Kayaroll Indonesia Joined 2021-10-14
0 uploads
Slot Mania
Slot mania yang sedang mencari website yang menggelalar game slot online, melalui profile pada Open ML, diperkenalkan AsiaBet118. Situs gaming yang menyajikan ribuan permainan manarik dan populer. Didukung oleh pengembang game slot mesin terbaik dunia. Pada laman utama situs tersebut dapat dilihat game slot online yang diusung oleh Pragmatic Play, Joker Gaming, Play'n Go, Habanero, dll. Silahkan kunjungi situs resmi penyelenggara Asia bet slot ini. Daftar agar bisa login dan mainkan game slot daring yang disukai. Semoga menang dan gacor, bisa cuan sepanjang hari. Situs Slot Online Asia
Asia Gaming Indonesia Joined 2021-10-14
0 uploads 0 activity 0 reach 0 impact
Joker Daring
Untuk penggemar Joker gaming, ayo bergerak, bergabung di situs Joker daring Indonesia, Joker123, Joker188, Joker288 atau Joker388 yang sedang booming itu. Silahkan meluncur melalui tautan link yang disematkan. Gaming Site Joker123
Joker Gaming Indonesia Joined 2021-10-13
0 uploads
Ernesto Luis Garcia Contreras
Engineer that solves business problems with a variety of skills and tools: Data Science, Process Improvement, Operations Research, Change Management.
AppaloosaEngineeringLLC United States Joined 2021-10-12
0 uploads 3 activity 0 reach 0 impact
Victor Bouvier
Research Scientist
Dataiku France Joined 2021-10-11
14 uploads 14 activity 0 reach 0 impact
The weather problem is a tiny dataset that we will use repeatedly to illustrate machine learning methods. Entirely fictitious, it supposedly concerns the conditions that are suitable for playing some…
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14 instances - 5 features - 2 classes - 0 missing values
Heart UCI Cleveleand
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Basam Ahmad
Australia Joined 2021-10-11
1 uploads 1 activity 0 reach 0 impact
Arumuga Samy
FACULTY
ANJAC INDIA Joined 2021-10-10
0 uploads 0.5 activity 0 reach 0 impact
0 runs0 likes0 downloads0 reach0 impact
estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : SALE_PRC
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : PM.sub.10..sub..particulate.matter..Hourly.measured.
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Average_Total_Payments
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : y1
Hima Patel
IBM India Joined 2021-10-07
0 uploads 9 activity 0 reach 0 impact
Rasoul Komari
none Iran Joined 2021-10-06
0 uploads 0.5 activity 0 reach 0 impact
This is a dataset about the academic performance of students in different subjects
0 runs0 likes1 downloads1 reach0 impact
1000 instances - 8 features - 2 classes - 0 missing values
This is a dataset about the actors and actresses that have voice characters in Disney movies
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1000 instances - 8 features - 2 classes - 0 missing values
Ifeanyi Idiaye
Mavis Naissance Consulting Nigeria Joined 2021-10-05
2 uploads 2 activity 0 reach 0 impact
Souvik Ganguly
Machine Learning Enthusiast
Student India Joined 2021-10-05
0 uploads 0 activity 0 reach 0 impact
Arya Ayati
Columbia University Joined 2021-10-03
0 uploads 1.5 activity 0 reach 0 impact
Parham Hasani
MSc in AI. Neuroscience enthusiast. ???????? #Machinelearning #Deeplearning #Neuroscience
United States Joined 2021-09-30
0 uploads 0 activity 0 reach 0 impact
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : kwh_opgewekt
Niek Brunninkhuis
Beeldhouwers Netherlands Joined 2021-09-29
1 uploads 2 activity 0 reach 0 impact
Elyas Shaswary
Joined 2021-09-28
0 uploads 1.5 activity 0 reach 0 impact
Dmitriy Adyrov
Ukraine Joined 2021-09-28
0 uploads 0.5 activity 0 reach 0 impact
Omar ANSER
First year PhD student
Inria Nancy - Grand Est France Joined 2021-09-27
0 uploads 1 activity 0 reach 0 impact
Rahul Gupta
India Joined 2021-09-26
0 uploads 0.5 activity 0 reach 0 impact
l l
Hmm... dunno. Joined 2021-09-26
0 uploads 1 activity 0 reach 0 impact
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : root_mean_squared_error - target_feature : class
Daniel Eng
United States Joined 2021-09-25
0 uploads 1.5 activity 0 reach 0 impact
Chandan Suri
Currently, I am a master's student in Computer Science at Columbia University and am pursuing the ML track.
Columbia University in the City of New York United States of America Joined 2021-09-24
0 uploads 4.5 activity 0 reach 0 impact
Touhidul Haque
Bangladesh Joined 2021-09-24
0 uploads 1 activity 0 reach 0 impact
The dataset contains information on 13,932 single-family homes sold in Miami in 2016. Besides publicly available information, the dataset creator Steven C. Bourassa has added distance variables,…
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13932 instances - 17 features - 0 classes - 0 missing values
Gold Edem
I build smart systems and turn complex concepts into stories
Nigeria Joined 2021-09-23
0 uploads 1.5 activity 0 reach 0 impact
Jakub Wasiewicz
Pedagogical University of Cracow Poland Joined 2021-09-22
0 uploads 0.5 activity 0 reach 0 impact
Mihail Turetchi
Moldova Joined 2021-09-22
0 uploads 0.5 activity 0 reach 0 impact
Ishaq ZOUAGHI
Computer science France Joined 2021-09-22
0 uploads 0.5 activity 0 reach 0 impact
Xin Wan
United States Joined 2021-09-22
0 uploads 0.5 activity 0 reach 0 impact
Prasad Nimantha
Lincon University College Sri Lanka Joined 2021-09-20
0 uploads 0.5 activity 0 reach 0 impact
Jose Bermudez
Federal University of Santa Catarina Brazil Joined 2021-09-18
0 uploads 2 activity 0 reach 0 impact
priyal doshi
Joined 2021-09-18
0 uploads 0.5 activity 0 reach 0 impact
Cristian Dario Ortega Yubro
Universidad del Aconcagua Argentina Joined 2021-09-18
0 uploads 0.5 activity 0 reach 0 impact
Sanket Lad
United States Joined 2021-09-17
0 uploads 0.5 activity 0 reach 0 impact
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estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class
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estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class
0 runs0 likes0 downloads0 reach0 impact
estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class
0 runs0 likes0 downloads0 reach0 impact
estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class
0 runs0 likes0 downloads0 reach0 impact
estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class
0 runs0 likes0 downloads0 reach0 impact
estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class
0 runs0 likes0 downloads0 reach0 impact
estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class
0 runs0 likes0 downloads0 reach0 impact
estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class
0 runs0 likes0 downloads0 reach0 impact
estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class
Robin Schmidt
Deutschland Joined 2021-09-16
0 uploads 0.5 activity 0 reach 0 impact
manu ravala
no usa Joined 2021-09-14
0 uploads 2.5 activity 0 reach 0 impact
Mohit Dalvi
Indiana University USA Joined 2021-09-13
0 uploads 0.5 activity 0 reach 0 impact
A decision tree classifier.
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.763, f_measure: 0.7338, kappa: 0.3504, kb_relative_information_score: 0.3347, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.4202, weighted_recall: 0.743, number_of_instances: 1000, precision: 0.7307, predictive_accuracy: 0.743, prior_entropy: 0.8813, relative_absolute_error: 0.6246, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4524, root_relative_squared_error: 0.9872, unweighted_recall: 0.665,
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
1 runs0 likes0 downloads0 reach0 impact
Histogram-based Gradient Boosting Classification Tree. This estimator is much faster than :class:`GradientBoostingClassifier` for big datasets (n_samples…
0 runs0 likes0 downloads0 reach0 impact
Andew Otinoff
Cyfrovaya fabrika Russia Joined 2021-09-12
0 uploads 0 activity 0 reach 0 impact
Arun Warrier
United States Joined 2021-09-12
0 uploads 1 activity 0 reach 0 impact
Lillian da Silva Moura
a cybersecurity and machine learning enthusiast.
Brasil Joined 2021-09-12
0 uploads 0.5 activity 0 reach 0 impact
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.68, f_measure: 0.7541, kappa: 0.3946, kb_relative_information_score: 0.4076, mean_absolute_error: 0.232, mean_prior_absolute_error: 0.4202, weighted_recall: 0.768, number_of_instances: 1000, precision: 0.7559, predictive_accuracy: 0.768, prior_entropy: 0.8813, relative_absolute_error: 0.5522, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4817, root_relative_squared_error: 1.0511, unweighted_recall: 0.68,
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
1 runs0 likes0 downloads0 reach0 impact
Applies transformers to columns of an array or pandas DataFrame. This estimator allows different columns or column subsets of the input to be transformed separately and the features generated by each…
0 runs0 likes0 downloads0 reach0 impact
Scale each feature by its maximum absolute value. This estimator scales and translates each feature individually such that the maximal absolute value of each feature in the training set will be 1.0.…
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Bob Saget
Bob Saget Joined 2021-09-11
0 uploads 3.5 activity 0 reach 0 impact
Kailash Joshi
I am learning with Machine
XXX INDIA Joined 2021-09-11
0 uploads 3 activity 0 reach 0 impact
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.9435, kappa: 0.939, kb_relative_information_score: 0.9523, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.0961, weighted_recall: 0.9444, number_of_instances: 683, precision: 0.949, predictive_accuracy: 0.9444, prior_entropy: 3.8358, relative_absolute_error: 0.0609, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.3493, unweighted_recall: 0.9719,
Soft Voting/Majority Rule classifier for unfitted estimators.
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