DEVELOPMENT... OpenML
Run
162069

Run 162069

Task 3706 (Supervised Classification) stock 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
0.9373
Per class
F measure
0.8252
Per class
Kappa
0.6619
KB relative information score
623.1465
Mean absolute error
0.1723
Mean prior absolute error
0.4996
Number of instances
950
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8737
Per class
Predictive accuracy
0.8295
Prior entropy
0.9995
Recall
0.8295
Per class
Relative absolute error
0.3449
Root mean prior squared error
0.4998
Root mean squared error
0.4079
Root relative squared error
0.8162
SciMark benchmark
938.4278
UserCPU time millis
20
UserCPU time millis training
20