DEVELOPMENT... OpenML
Run
25980

Run 25980

Task 59 (Supervised Classification) iris Uploaded 07-10-2014 by Felicia West
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Flow

weka.MultiBoostAB_REPTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M2
weka.REPTree(5)_N3
weka.REPTree(5)_S1
weka.REPTree(5)_V0.001
weka.MultiBoostAB_REPTree(2)_C3
weka.MultiBoostAB_REPTree(2)_P100
weka.MultiBoostAB_REPTree(2)_S1
weka.MultiBoostAB_REPTree(2)_I40
weka.MultiBoostAB_REPTree(2)_Wweka.classifiers.trees.REPTree

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
0.9746
Per class
Build CPU time
0.006
Build memory
261304060.8
F measure
0.94
Per class
Kappa
0.91
KB relative information score
138.9934
Mean absolute error
0.0364
Mean prior absolute error
0.4444
Number of instances
150
Per class
OS information
[Oracle Corporation, 1.7.0_67, x86_64, Mac OS X, 10.9.5]
Precision
0.9401
Per class
Predictive accuracy
0.94
Prior entropy
1.585
Recall
0.94
Per class
Relative absolute error
0.0819
Root mean prior squared error
0.4714
Root mean squared error
0.174
Root relative squared error
0.3692
SciMark benchmark
1552.123[1005.03639414864881228.1421293642538659.95191291999961356.50193714447323510.9824662080687]