DEVELOPMENT... OpenML
Run
164564

Run 164564

Task 13 (Supervised Classification) breast-cancer Uploaded 17-02-2015 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)_I160
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
0.6622
Per class
F measure
0.6897
Per class
Kappa
0.2294
KB relative information score
69.3586
Mean absolute error
0.2936
Mean prior absolute error
0.4183
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
0.6856
Per class
Predictive accuracy
0.7098
Prior entropy
0.8796
Recall
0.7098
Per class
Relative absolute error
0.7018
Root mean prior squared error
0.457
Root mean squared error
0.4932
Root relative squared error
1.0791
SciMark benchmark
942.1229
UserCPU time millis
50
UserCPU time millis training
50