DEVELOPMENT... OpenML
Run
38062

Run 38062

Task 3021 (Supervised Classification) sick Uploaded 28-10-2014 by Felicia West
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Flow

weka.MultiBoostAB_ADTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_C3
weka.MultiBoostAB_ADTree(2)_P100
weka.MultiBoostAB_ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_I20
weka.MultiBoostAB_ADTree(2)_Wweka.classifiers.trees.ADTree

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.

21 Evaluation measures

Area under ROC curve
0.9806
Per class
Build CPU time
3.8356
Build memory
869687083.0308
F measure
0.9863
Per class
Kappa
0.8815
KB relative information score
3126.7763
Mean absolute error
0.0135
Mean prior absolute error
0.1152
Number of instances
3772
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9864
Per class
Predictive accuracy
0.9862
Prior entropy
0.3333
Recall
0.9862
Per class
Relative absolute error
0.1174
Root mean prior squared error
0.2398
Root mean squared error
0.1107
Root relative squared error
0.4618
SciMark benchmark
938.0657