DEVELOPMENT... OpenML
Run
25964

Run 25964

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

weka.MultiBoostAB_LADTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.LADTree(2)_B10
weka.MultiBoostAB_LADTree(2)_C3
weka.MultiBoostAB_LADTree(2)_P100
weka.MultiBoostAB_LADTree(2)_S1
weka.MultiBoostAB_LADTree(2)_I20
weka.MultiBoostAB_LADTree(2)_Wweka.classifiers.trees.LADTree

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
0.9695
Per class
Build CPU time
0.0759
Build memory
386529001.6
F measure
0.9467
Per class
Kappa
0.92
KB relative information score
139.1919
Mean absolute error
0.0349
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
0.9467
Per class
Predictive accuracy
0.9467
Prior entropy
1.585
Recall
0.9467
Per class
Relative absolute error
0.0785
Root mean prior squared error
0.4714
Root mean squared error
0.1853
Root relative squared error
0.3931
SciMark benchmark
1552.123[1005.03639414864881228.1421293642538659.95191291999961356.50193714447323510.9824662080687]