DEVELOPMENT... OpenML
Run
165130

Run 165130

Task 3617 (Supervised Classification) fri_c4_1000_10 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
0.9536
Per class
F measure
0.8708
Per class
Kappa
0.7374
KB relative information score
729.6927
Mean absolute error
0.1337
Mean prior absolute error
0.4928
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
0.8708
Per class
Predictive accuracy
0.871
Prior entropy
0.9896
Recall
0.871
Per class
Relative absolute error
0.2714
Root mean prior squared error
0.4964
Root mean squared error
0.3205
Root relative squared error
0.6457
SciMark benchmark
936.6206
UserCPU time millis
700
UserCPU time millis training
700