DEVELOPMENT... OpenML
Run
163353

Run 163353

Task 3550 (Supervised Classification) analcatdata_asbestos 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)_I40
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
0.8252
Per class
F measure
0.7716
Per class
Kappa
0.5451
KB relative information score
43.2424
Mean absolute error
0.237
Mean prior absolute error
0.4943
Number of instances
83
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.783
Per class
Predictive accuracy
0.7711
Prior entropy
0.9919
Recall
0.7711
Per class
Relative absolute error
0.4794
Root mean prior squared error
0.4971
Root mean squared error
0.4547
Root relative squared error
0.9148
SciMark benchmark
911.3823
UserCPU time millis
10
UserCPU time millis training
10