DEVELOPMENT... OpenML
Run
165234

Run 165234

Task 3709 (Supervised Classification) breastTumor 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
0.6421
Per class
F measure
0.5918
Per class
Kappa
0.1615
KB relative information score
47.5327
Mean absolute error
0.4048
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
0.6009
Per class
Predictive accuracy
0.6119
Prior entropy
0.9815
Recall
0.6119
Per class
Relative absolute error
0.831
Root mean prior squared error
0.4935
Root mean squared error
0.527
Root relative squared error
1.0679
SciMark benchmark
936.6206
UserCPU time millis
60
UserCPU time millis training
60