DEVELOPMENT... OpenML
Run
165287

Run 165287

Task 3730 (Supervised Classification) fri_c2_1000_50 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
0.9556
Per class
F measure
0.8763
Per class
Kappa
0.7447
KB relative information score
739.2102
Mean absolute error
0.1262
Mean prior absolute error
0.4866
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
0.8771
Per class
Predictive accuracy
0.877
Prior entropy
0.9806
Recall
0.877
Per class
Relative absolute error
0.2593
Root mean prior squared error
0.4932
Root mean squared error
0.3218
Root relative squared error
0.6525
SciMark benchmark
936.6206
UserCPU time millis
3180
UserCPU time millis testing
10
UserCPU time millis training
3170