DEVELOPMENT... OpenML
Run
39160

Run 39160

Task 4444 (Supervised Classification) analcatdata_chlamydia 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
0.881
Per class
Build CPU time
0.02
Build memory
998204801.2
F measure
0.9257
Per class
Kappa
0.7521
KB relative information score
701.1217
Mean absolute error
0.0773
Mean prior absolute error
0.3116
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9259
Per class
Predictive accuracy
0.928
Prior entropy
0.714
Recall
0.928
Per class
Relative absolute error
0.2483
Root mean prior squared error
0.3923
Root mean squared error
0.2632
Root relative squared error
0.6708
SciMark benchmark
943.8925