DEVELOPMENT... OpenML
Run
163291

Run 163291

Task 3495 (Supervised Classification) SPECT 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
0.8104
Per class
F measure
0.7197
Per class
Kappa
0.0527
KB relative information score
74.1628
Mean absolute error
0.204
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
0.7235
Per class
Predictive accuracy
0.7903
Prior entropy
0.738
Recall
0.7903
Per class
Relative absolute error
0.6212
Root mean prior squared error
0.4044
Root mean squared error
0.3971
Root relative squared error
0.982
SciMark benchmark
945.6434
UserCPU time millis
10
UserCPU time millis training
10