DEVELOPMENT... OpenML
Run
163899

Run 163899

Task 203 (Supervised Classification) BNG(soybean) Uploaded 16-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(2)_C3
weka.MultiBoostAB_DecisionStump(2)_I80
weka.MultiBoostAB_DecisionStump(2)_P100
weka.MultiBoostAB_DecisionStump(2)_S1
weka.MultiBoostAB_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.6986
Per class
F measure
0.1072
Per class
Kappa
0.1462
KB relative information score
182789.371
Mean absolute error
0.0908
Mean prior absolute error
0.0961
Number of instances
1000000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.0681
Per class
Predictive accuracy
0.2568
Prior entropy
3.847
Recall
0.2568
Per class
Relative absolute error
0.9452
Root mean prior squared error
0.2192
Root mean squared error
0.2131
Root relative squared error
0.9722
SciMark benchmark
894.7455
UserCPU time millis
5600
UserCPU time millis testing
1410
UserCPU time millis training
4190