ModelMetricsBinomial (h2o-core version 3.8.1.2 API)

java.lang.Object
- water.Iced<T>
- - water.Keyed<ModelMetrics>
  - - hex.ModelMetrics
    - - hex.ModelMetricsSupervised
      - hex.ModelMetricsBinomial

All Implemented Interfaces:

java.io.Externalizable, java.io.Serializable, java.lang.Cloneable, Freezable<ModelMetrics>

Direct Known Subclasses:

ModelMetricsBinomialGLM
```
public class ModelMetricsBinomial
extends ModelMetricsSupervised
```
See Also:
Serialized Form

Nested Class Summary

Nested Classes
Modifier and Type Class and Description

static class ModelMetricsBinomial.MetricBuilderBinomial<T extends ModelMetricsBinomial.MetricBuilderBinomial<T>>
- Nested classes/interfaces inherited from class hex.ModelMetricsSupervised
  ModelMetricsSupervised.MetricBuilderSupervised<T extends ModelMetricsSupervised.MetricBuilderSupervised<T>>
- Nested classes/interfaces inherited from class hex.ModelMetrics
  ModelMetrics.MetricBuilder<T extends ModelMetrics.MetricBuilder<T>>

Nested Classes
Modifier and Type	Class and Description
`static class`	`ModelMetricsBinomial.MetricBuilderBinomial<T extends ModelMetricsBinomial.MetricBuilderBinomial<T>>`

Field Summary

Fields
Modifier and Type Field and Description

AUC2 _auc

GainsLift _gainsLift

double _logloss
- Fields inherited from class hex.ModelMetricsSupervised
  _domain, _sigma
- Fields inherited from class hex.ModelMetrics
  _description, _MSE, _scoring_time
- Fields inherited from class water.Keyed
  _key

Fields
Modifier and Type	Field and Description
`AUC2`	`_auc`
`GainsLift`	`_gainsLift`
`double`	`_logloss`

Constructor Summary

Constructors
Constructor and Description
`ModelMetricsBinomial(Model model, Frame frame, double mse, java.lang.String[] domain, double sigma, AUC2 auc, double logloss, GainsLift gainsLift)`

Method Summary

Methods
Modifier and Type	Method and Description
`double`	`accuracy()`
`AUC2`	`auc_obj()`
`double`	`auc()`
`ConfusionMatrix`	`cm()`
`double`	`err_count()`
`double`	`err()`
`double`	`F0point5()`
`double`	`F1()`
`double`	`F2()`
`GainsLift`	`gainsLift()`
`static ModelMetricsBinomial`	`getFromDKV(Model model, Frame frame)`
`double`	`lift_top_group()`
`double`	`logloss()`
`double`	`max_per_class_error()`
`double`	`mcc()`
`double`	`precision()`
`double`	`recall()`
`double`	`specificity()`
`java.lang.String`	`toString()`

Methods inherited from class hex.ModelMetricsSupervised
r2

Methods inherited from class hex.ModelMetrics
buildKey, calcVarImp, calcVarImp, calcVarImp, calcVarImp, checksum_impl, frame, getAllowedMetrics, getMetricFromModel, hr, isForFrame, isForModel, model, mse, residual_degrees_of_freedom, sortModelsByMetric

Methods inherited from class water.Keyed
checksum, makeSchema, readAll_impl, readAll, remove_impl, remove, remove, remove, remove, writeAll_impl, writeAll

Methods inherited from class water.Iced
clone, copyOver, frozenType, read_impl, read, readExternal, readJSON_impl, readJSON, toJsonString, write_impl, write, writeExternal, writeJSON_impl, writeJSON

Methods inherited from class java.lang.Object
equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Field Detail

_auc
```
public final AUC2 _auc
```

_logloss
```
public final double _logloss
```

_gainsLift
```
public final GainsLift _gainsLift
```

Constructor Detail

ModelMetricsBinomial

public ModelMetricsBinomial(Model model,
                    Frame frame,
                    double mse,
                    java.lang.String[] domain,
                    double sigma,
                    AUC2 auc,
                    double logloss,
                    GainsLift gainsLift)

Method Detail

getFromDKV

public static ModelMetricsBinomial getFromDKV(Model model,
                              Frame frame)

toString
```
public java.lang.String toString()
```
Overrides:

toString in class ModelMetricsSupervised

logloss
```
public double logloss()
```

auc_obj
```
public AUC2 auc_obj()
```
Overrides:

auc_obj in class ModelMetrics

cm
```
public ConfusionMatrix cm()
```
Overrides:

cm in class ModelMetrics

gainsLift
```
public GainsLift gainsLift()
```

auc
```
public double auc()
```

err
```
public double err()
```

err_count
```
public double err_count()
```

accuracy
```
public double accuracy()
```

specificity
```
public double specificity()
```

recall
```
public double recall()
```

precision
```
public double precision()
```

mcc
```
public double mcc()
```

max_per_class_error
```
public double max_per_class_error()
```

F1
```
public double F1()
```

F2
```
public double F2()
```

F0point5
```
public double F0point5()
```

lift_top_group
```
public double lift_top_group()
```

Class ModelMetricsBinomial

Nested Class Summary

Nested classes/interfaces inherited from class hex.ModelMetricsSupervised

Nested classes/interfaces inherited from class hex.ModelMetrics

Field Summary

Fields inherited from class hex.ModelMetricsSupervised

Fields inherited from class hex.ModelMetrics

Fields inherited from class water.Keyed

Constructor Summary

Method Summary

Methods inherited from class hex.ModelMetricsSupervised

Methods inherited from class hex.ModelMetrics

Methods inherited from class water.Keyed

Methods inherited from class water.Iced

Methods inherited from class java.lang.Object

Field Detail

_auc

_logloss

_gainsLift

Constructor Detail

ModelMetricsBinomial

Method Detail

getFromDKV

toString

logloss

auc_obj

cm

gainsLift

auc

err

err_count

accuracy

specificity

recall

precision

mcc

max_per_class_error

F1

F2

F0point5

lift_top_group