DEVELOPMENT... OpenML
Run
39751

Run 39751

Task 3550 (Supervised Classification) analcatdata_asbestos Uploaded 28-10-2014 by Felicia West
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Flow

weka.MultiBoostAB_ADTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_C3
weka.MultiBoostAB_ADTree(2)_P100
weka.MultiBoostAB_ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_I40
weka.MultiBoostAB_ADTree(2)_Wweka.classifiers.trees.ADTree

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.

21 Evaluation measures

Area under ROC curve
0.7767
Per class
Build CPU time
0.0281
Build memory
1576464931.1807
F measure
0.7314
Per class
Kappa
0.4549
KB relative information score
38.7169
Mean absolute error
0.2616
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
0.7357
Per class
Predictive accuracy
0.7349
Prior entropy
0.9919
Recall
0.7349
Per class
Relative absolute error
0.5292
Root mean prior squared error
0.4971
Root mean squared error
0.5085
Root relative squared error
1.023
SciMark benchmark
938.0657