DEVELOPMENT... OpenML
Run
163579

Run 163579

Task 3775 (Supervised Classification) fri_c2_1000_5 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
0.9366
Per class
F measure
0.8541
Per class
Kappa
0.6997
KB relative information score
695.8533
Mean absolute error
0.1465
Mean prior absolute error
0.4859
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8541
Per class
Predictive accuracy
0.854
Prior entropy
0.9796
Recall
0.854
Per class
Relative absolute error
0.3014
Root mean prior squared error
0.4929
Root mean squared error
0.3487
Root relative squared error
0.7074
SciMark benchmark
936.6206
UserCPU time millis
100
UserCPU time millis training
100