water.bindings.pojos

Class ModelMetricsBinomialV3

java.lang.Object

water.bindings.pojos.Schema

water.bindings.pojos.ModelMetricsBase

water.bindings.pojos.ModelMetricsBinomialV3

Direct Known Subclasses:

ModelMetricsBinomialGLMV3

public class ModelMetricsBinomialV3
extends ModelMetricsBase

Field Summary

Fields

Modifier and Type	Field and Description
double	AUC The AUC for this scoring run.
java.lang.String	description Optional description for this scoring run (to note out-of-bag, sampled data, etc.)
java.lang.String[]	domain The class labels of the response.
java.lang.String	frame The frame used for this scoring run.
long	frame_checksum The checksum for the frame used for this scoring run.
TwoDimTableV3	gains_lift_table Gains and Lift table.
double	Gini The Gini score for this scoring run.
double	logloss The logarithmic loss for this scoring run.
TwoDimTableV3	max_criteria_and_metric_scores The Metrics for various criteria.
java.lang.String	model The model used for this scoring run.
ModelCategory	model_category The category (e.g., Clustering) for the model used for this scoring run.
long	model_checksum The checksum for the model used for this scoring run.
double	MSE The Mean Squared Error of the prediction for this scoring run.
FrameV3	predictions Predictions Frame.
double	r2 The R^2 for this scoring run.
long	scoring_time The time in mS since the epoch for the start of this scoring run.
TwoDimTableV3	thresholds_and_metric_scores The Metrics for various thresholds.

Constructor Summary

Constructors

Constructor and Description
ModelMetricsBinomialV3()

Method Summary

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

r2

public double r2

The R^2 for this scoring run.

logloss

public double logloss

The logarithmic loss for this scoring run.

AUC

public double AUC

The AUC for this scoring run.

Gini

public double Gini

The Gini score for this scoring run.

domain

public java.lang.String[] domain

The class labels of the response.

thresholds_and_metric_scores

public TwoDimTableV3 thresholds_and_metric_scores

The Metrics for various thresholds.

max_criteria_and_metric_scores

public TwoDimTableV3 max_criteria_and_metric_scores

The Metrics for various criteria.

gains_lift_table

public TwoDimTableV3 gains_lift_table

Gains and Lift table.

model

public java.lang.String model

The model used for this scoring run.

model_checksum

public long model_checksum

The checksum for the model used for this scoring run.

frame

public java.lang.String frame

The frame used for this scoring run.

frame_checksum

public long frame_checksum

The checksum for the frame used for this scoring run.

description

public java.lang.String description

Optional description for this scoring run (to note out-of-bag, sampled data, etc.)

model_category

public ModelCategory model_category

The category (e.g., Clustering) for the model used for this scoring run.

scoring_time

public long scoring_time

The time in mS since the epoch for the start of this scoring run.

predictions

public FrameV3 predictions

Predictions Frame.

MSE

public double MSE

The Mean Squared Error of the prediction for this scoring run.

Constructor Detail

ModelMetricsBinomialV3

public ModelMetricsBinomialV3()