DEVELOPMENT... OpenML
Run
163805

Run 163805

Task 59 (Supervised Classification) iris Uploaded 16-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(2)_C3
weka.MultiBoostAB_DecisionStump(2)_I40
weka.MultiBoostAB_DecisionStump(2)_P100
weka.MultiBoostAB_DecisionStump(2)_S1
weka.MultiBoostAB_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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.

22 Evaluation measures

Area under ROC curve
0.9786
Per class
F measure
0.9466
Per class
Kappa
0.92
KB relative information score
138.6936
Mean absolute error
0.0373
Mean prior absolute error
0.4444
Number of instances
150
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9471
Per class
Predictive accuracy
0.9467
Prior entropy
1.585
Recall
0.9467
Per class
Relative absolute error
0.084
Root mean prior squared error
0.4714
Root mean squared error
0.1794
Root relative squared error
0.3805
SciMark benchmark
938.4278
UserCPU time millis
10
UserCPU time millis training
10