DEVELOPMENT... OpenML
Run
164433

Run 164433

Task 3897 (Supervised Classification) eye_movements 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)_I80
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
0.5933
Per class
F measure
0.394
Per class
Kappa
0.1502
KB relative information score
1219.6813
Mean absolute error
0.4188
Mean prior absolute error
0.4388
Number of instances
10936
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4182
Per class
Predictive accuracy
0.4207
Prior entropy
1.5663
Recall
0.4207
Per class
Relative absolute error
0.9544
Root mean prior squared error
0.4684
Root mean squared error
0.4578
Root relative squared error
0.9774
SciMark benchmark
876.8277
UserCPU time millis
80
UserCPU time millis testing
10
UserCPU time millis training
70