DEVELOPMENT... OpenML
Run
163087

Run 163087

Task 7306 (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)_I20
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
0.9809
Per class
Average cost
0.6667
F measure
0.9533
Per class
Kappa
0.93
KB relative information score
139.4317
Mean absolute error
0.0352
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
0.9544
Per class
Predictive accuracy
0.9533
Prior entropy
1.585
Recall
0.9533
Per class
Relative absolute error
0.0791
Root mean prior squared error
0.4714
Root mean squared error
0.1758
Root relative squared error
0.3729
SciMark benchmark
876.8277
Total cost
100
UserCPU time millis
10
UserCPU time millis training
10