DEVELOPMENT... OpenML
Run
165519

Run 165519

Task 3938 (Supervised Classification) lymphoma_2classes 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
0.9783
Per class
F measure
0.9778
Per class
Kappa
0.9556
KB relative information score
42.9974
Mean absolute error
0.0222
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
0.9787
Per class
Predictive accuracy
0.9778
Prior entropy
0.9997
Recall
0.9778
Per class
Relative absolute error
0.0445
Root mean prior squared error
0.4999
Root mean squared error
0.1491
Root relative squared error
0.2982
SciMark benchmark
936.7115
UserCPU time millis
10130
UserCPU time millis training
10130