DEVELOPMENT... OpenML
Run
163939

Run 163939

Task 2065 (Supervised Classification) primary-tumor 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
0.6371
Per class
F measure
0.1864
Per class
Kappa
0.152
KB relative information score
55.41
Mean absolute error
0.0746
Mean prior absolute error
0.0812
Number of instances
339
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.151
Per class
Predictive accuracy
0.2891
Prior entropy
3.7542
Recall
0.2891
Per class
Relative absolute error
0.9182
Root mean prior squared error
0.2011
Root mean squared error
0.1935
Root relative squared error
0.9624
SciMark benchmark
942.6953