OpenML
434893

Run 434893

Task 86 (Learning Curve) colic Uploaded 12-05-2015 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_DecisionStump(3)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(3)_C3
weka.MultiBoostAB_DecisionStump(3)_P100
weka.MultiBoostAB_DecisionStump(3)_S1
weka.MultiBoostAB_DecisionStump(3)_I160
weka.MultiBoostAB_DecisionStump(3)_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
0.8605 ± 0.0674
Per class
F measure
0.8322 ± 0.0581
Per class
Kappa
0.6404 ± 0.1236
KB relative information score
0.6154 ± 0.121
Mean absolute error
0.1755 ± 0.054
Mean prior absolute error
0.4662 ± 0.0029
Number of instances
3680
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8324 ± 0.0568
Per class
Predictive accuracy
0.8321 ± 0.0571
Prior entropy
0.9503 ± 0.0087
Recall
0.8321 ± 0.0571
Per class
Relative absolute error
0.3766 ± 0.1157
Root mean prior squared error
0.4827 ± 0.0031
Root mean squared error
0.3906 ± 0.0692
Root relative squared error
0.8092 ± 0.1431
SciMark benchmark
941.3619
UserCPU time millis
130
UserCPU time millis training
130