Also, the reason physical dmg% artifacts are higher is b/c characters with even terrible elemental skills/bursts probably won’t exceed 20/80, so to make them comparable to a 100/0 distribution character they’re scaled 25% higher.
The attack deals 12 points of damage, but the character also fails his Fortitude save against the poison and takes 3 points of Constitution damage. This lowers his Constitution—and hence his massive damage threshold—to 11. Since the damage exceeds the threshold, the character must now make a Fortitude save to avoid the effect of massive damage.
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Dmg Making A Character Graphic Organizer
Dmg Making A Character Creator

Ningguang is a character that scales extremely well with high constellation levels, making her one of the burstier single target units in the game. A full Retracing Bolide set can also work.

PMML 4.4 - General Structure

For Time Series models, please see the Notice of Essential Claims.

PMML uses XML to represent mining models. The structure of the models is described by an XML Schema. One or more mining models can be contained in a PMML document. A PMML document is an XML document with a root element of type PMML. The general structure of a PMML document is:

The namespaces in the PMML Schema itself are defined as:

Note that because of the namespace declaration in its current form, PMML cannot be mixed with content of a different namespace.

Although a PMML document must be valid with respect to the PMML XSD, a document must not require a validating parser, which would load external entities. In addition to being a valid XML document, a valid PMML document must obey a number of further rules which are described at various places in the PMML specification. See also the conformance rules for valid PMML documents, producers, and consumers.

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The root element of a PMML document must have type PMML.

A PMML document can contain more than one model. If the application system provides a means of selecting models by name and if the PMML consumer specifies a model name, then that model is used; otherwise the first model is used.

A PMML compliant system is not required to provide model selection by name.

The list of mining models in a PMML document may even be empty. The document can be used to carry the initial metadata before an actual model is computed. A PMML document containing no model is not meant to be useful for a PMML consumer.

For PMML 4.4 the attribute version must have the value 4.4

The element MiningBuildTask can contain any XML value describing the configuration of the training run that produced the model instance. This information is not directly needed by a PMML consumer, but in many cases it is helpful for maintenance and visualization of the model. The particular content structure of MiningBuildTask is not defined by PMML. Though, this element would be the natural container for task specifications as defined by other mining standards, e.g., in SQL or Java.

In general, field names in PMML should be unique. Avoiding name duplication is a good practice since it makes life easier for consumers and, with few exceptions, certain field names cannot be duplicated under any circumstances (e.g., DerivedFields in the TransformationDictionary). For more information on field names, see Scope of Fields.

Certain types of PMML models such as neural networks or logistic regression can be used for different purposes. That is, some instances implement prediction of numeric values, while others can be used for classification. Therefore, PMML defines several different mining functions. Each model has an attribute functionName which specifies the mining function.

For all PMML models the structure of the top-level model element is similar to the template of ExampleModel as below

A non-empty list of mining fields defines a mining schema. The output element gives a list of result values and internal results such as confidences or probabilities that can be computed by the model. The univariate statistics contain global statistics on (a subset of the) mining fields. The targets section holds more information on the target values and accompanying information like prior probabilities, optypes and the like. LocalTransformations holds derived fields that are local to the model. Other model specific elements follow after that, in the content of ExampleModel. Finally, the ModelVerification part gives sample data and results of the model so consumers can instantly validate.
For a list of models that have been defined in PMML 4.4 see the element PMML above.

modelName: the value in modelName identifies the model with a unique name in the context of the PMML file. This attribute is not required. Consumers of PMML models are free to manage the names of the models at their discretion.

functionName and algorithmName describe the kind of mining model, e.g., whether it is intended to be used for clustering or for classification. The algorithm name is free-type and can be any description for the specific algorithm that produced the model. This attribute is for information only.

Ties

Although rare, it is possible for classification models to identify more than one 'winning' outcomes. In these instances, PMML doesn't define a tie-breaking procedure but recommends that the category appearing first in the predictor's DataField be selected.

Naming Conventions

The naming conventions for PMML are:

Element Names are in mixed case, first uppercase.
AttributeNames are in mixed case, first lowercase.
Constants in enumerations are in mixed case, first lowercase.
SimpleTypes are all uppercase.

Usage of the character '-' is discouraged in order to avoid confusion with mathematical notation.

Extension Mechanism

The PMML schema contains a mechanism for extending the content of a model. Extension elements should be present as the first child in all elements and groups defined in PMML. This way it is possible to place information in the Extension elements which affects how the remaining entries are treated. The main element in each model should have Extension elements as the first and the last child for maximum flexibility.

These extension elements have a content model of ANY, where vendor specific extension elements can be included. However, element types must start with X-. This convention helps to avoid conflicts with possible future extensions to standard PMML.
Extension also features the attributes name and value to specify single extension attributes, where name will specify the name of the extension attribute and value the respective value.

If a document uses local namespaces, then the name of the namespace should not start with PMML or DMG or any variant of these names with lowercase characters. They are reserved for future use in PMML.

Up to PMML 2.1, extension attributes could be added to all elements in PMML if the prefix x- was used. This mechanism is deprecated, extension elements should be used instead. PMML documents with extension attributes using the old convention are still considered to be valid PMML. However, note that PMML documents containing old-style x- extension attributes will not validate in XML schema, but one can use XSL transformation to remove all x- extension attributes and receive an XML document that will validate.

Examples

An extension attribute format can be added to a DataField like this:

An extension element DataFieldSource ca