DEVELOPMENT... OpenML
Run
39273

Run 39273

Task 1907 (Supervised Classification) colic 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
0.8685
Per class
Build CPU time
0.567
Build memory
534965611.7109
F measure
0.8493
Per class
Kappa
0.675
KB relative information score
2452.4232
Mean absolute error
0.1508
Mean prior absolute error
0.4662
Number of instances
3680
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8492
Per class
Predictive accuracy
0.8503
Prior entropy
0.9509
Recall
0.8503
Per class
Relative absolute error
0.3235
Root mean prior squared error
0.4827
Root mean squared error
0.3794
Root relative squared error
0.786
SciMark benchmark
945.6653