DEVELOPMENT... OpenML
Run
162070

Run 162070

Task 3709 (Supervised Classification) breastTumor 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)_I10
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
0.6359
Per class
F measure
0.5155
Per class
Kappa
0.0552
KB relative information score
40.7065
Mean absolute error
0.4175
Mean prior absolute error
0.4872
Number of instances
286
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5604
Per class
Predictive accuracy
0.5839
Prior entropy
0.9815
Recall
0.5839
Per class
Relative absolute error
0.8569
Root mean prior squared error
0.4935
Root mean squared error
0.5074
Root relative squared error
1.0282
SciMark benchmark
938.4278