DEVELOPMENT... OpenML
Run
162401

Run 162401

Task 41 (Supervised Classification) 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)_I20
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
0.7988
Per class
F measure
0.1595
Per class
Kappa
0.1942
KB relative information score
220.1396
Mean absolute error
0.0826
Mean prior absolute error
0.0961
Number of instances
683
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.1327
Per class
Predictive accuracy
0.2796
Prior entropy
3.8572
Recall
0.2796
Per class
Relative absolute error
0.8595
Root mean prior squared error
0.2191
Root mean squared error
0.2033
Root relative squared error
0.9278
SciMark benchmark
939.7623
UserCPU time millis
10
UserCPU time millis training
10