DEVELOPMENT... OpenML
Run
163735

Run 163735

Task 3938 (Supervised Classification) lymphoma_2classes 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
0.9763
Per class
F measure
0.9556
Per class
Kappa
0.9111
KB relative information score
40.9972
Mean absolute error
0.0444
Mean prior absolute error
0.4998
Number of instances
45
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9556
Per class
Predictive accuracy
0.9556
Prior entropy
0.9997
Recall
0.9556
Per class
Relative absolute error
0.0889
Root mean prior squared error
0.4999
Root mean squared error
0.2107
Root relative squared error
0.4216
SciMark benchmark
936.6206
UserCPU time millis
2430
UserCPU time millis training
2430

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