DEVELOPMENT... OpenML
Run
164243

Run 164243

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)_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
0.6441
Per class
F measure
0.6222
Per class
Kappa
0.2202
KB relative information score
51.0667
Mean absolute error
0.4008
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
0.6211
Per class
Predictive accuracy
0.6259
Prior entropy
0.9815
Recall
0.6259
Per class
Relative absolute error
0.8228
Root mean prior squared error
0.4935
Root mean squared error
0.522
Root relative squared error
1.0578
SciMark benchmark
936.7115
UserCPU time millis
30
UserCPU time millis training
30