DEVELOPMENT... OpenML
Run
161997

Run 161997

Task 3634 (Supervised Classification) fri_c3_100_25 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)_I10
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
0.6069
Per class
F measure
0.5737
Per class
Kappa
0.1376
KB relative information score
12.6849
Mean absolute error
0.4318
Mean prior absolute error
0.4951
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.575
Per class
Predictive accuracy
0.58
Prior entropy
0.9931
Recall
0.58
Per class
Relative absolute error
0.8721
Root mean prior squared error
0.4975
Root mean squared error
0.559
Root relative squared error
1.1237
SciMark benchmark
938.4278
UserCPU time millis
10
UserCPU time millis training
10