DEVELOPMENT... OpenML
Run
162525

Run 162525

Task 221 (Supervised Classification) Hyperplane_10_1E-4 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)_I20
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
0.8631 ± 0.0018
Per class
F measure
0.7808 ± 0.0025
Per class
Kappa
0.5616 ± 0.005
KB relative information score
0.5252 ± 0.0036
Mean absolute error
0.0963 ± 0.0007
Mean prior absolute error
0.2 ± 0
Number of instances
1000000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7808 ± 0.0025
Per class
Predictive accuracy
0.7808 ± 0.0025
Prior entropy
1 ± 0
Recall
0.7808 ± 0.0025
Per class
Relative absolute error
0.4817 ± 0.0033
Root mean prior squared error
0.3162 ± 0
Root mean squared error
0.2536 ± 0.0012
Root relative squared error
0.8019 ± 0.0037
SciMark benchmark
934.5243
UserCPU time millis
252230
UserCPU time millis testing
2130
UserCPU time millis training
250100