DEVELOPMENT... OpenML
Run
164985

Run 164985

Task 3495 (Supervised Classification) SPECT Uploaded 17-02-2015 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)_I160
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
0.818
Per class
F measure
0.7976
Per class
Kappa
0.3338
KB relative information score
92.0796
Mean absolute error
0.1887
Mean prior absolute error
0.3284
Number of instances
267
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7984
Per class
Predictive accuracy
0.8202
Prior entropy
0.738
Recall
0.8202
Per class
Relative absolute error
0.5747
Root mean prior squared error
0.4044
Root mean squared error
0.3761
Root relative squared error
0.93
SciMark benchmark
911.3823
UserCPU time millis
80
UserCPU time millis training
80