DEVELOPMENT... OpenML
Run
40815

Run 40815

Task 4512 (Supervised Classification) echoMonths Uploaded 29-10-2014 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)_I80
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
0.76
Per class
Build CPU time
0.2786
Build memory
758341415.28
F measure
0.7413
Per class
Kappa
0.4825
KB relative information score
633.688
Mean absolute error
0.2559
Mean prior absolute error
0.4999
Number of instances
1300
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.742
Per class
Predictive accuracy
0.7415
Prior entropy
0.9998
Recall
0.7415
Per class
Relative absolute error
0.512
Root mean prior squared error
0.4999
Root mean squared error
0.502
Root relative squared error
1.0041
SciMark benchmark
946.7854