Prediction for a model
indu
New Altair Community Member
I checked your two datasets X and Y, both have "Class" attribute. This class has labels "0" and "1". I want to combine these two datasets and make predictions as a single model. Can someone share the steps for this task.
Tagged:
0
Best Answer
-
Ok i Got the results...thank you very much for the reply.0
Answers
-
Hi @indu,
mmhh... I don't understand what you want to do...
In order we can help you, can you describe what you have and what you want to obtain.
Please share your data...
Regards,
Lionel0 -
I want to combine these two datasets and make predictions as a single model. Please advise.
0 -
@indu,
It's very easy :
Use an Append operator to combine the 2 datasets.
Here a sample process with your 2 combined datasets including a X-validation with a Decision Tree :<?xml version="1.0" encoding="UTF-8"?><process version="9.5.000"> <context> <input/> <output/> <macros/> </context> <operator activated="true" class="process" compatibility="9.5.000" expanded="true" name="Process"> <parameter key="logverbosity" value="init"/> <parameter key="random_seed" value="2001"/> <parameter key="send_mail" value="never"/> <parameter key="notification_email" value=""/> <parameter key="process_duration_for_mail" value="30"/> <parameter key="encoding" value="SYSTEM"/> <process expanded="true"> <operator activated="true" class="read_csv" compatibility="9.5.000" expanded="true" height="68" name="Read CSV" width="90" x="112" y="85"> <parameter key="csv_file" value="C:\Users\Lionel\Downloads\aa_counts_dna.csv"/> <parameter key="column_separators" value=","/> <parameter key="trim_lines" value="false"/> <parameter key="use_quotes" value="true"/> <parameter key="quotes_character" value="""/> <parameter key="escape_character" value="\"/> <parameter key="skip_comments" value="true"/> <parameter key="comment_characters" value="#"/> <parameter key="starting_row" value="1"/> <parameter key="parse_numbers" value="true"/> <parameter key="decimal_character" value="."/> <parameter key="grouped_digits" value="false"/> <parameter key="grouping_character" value=","/> <parameter key="infinity_representation" value=""/> <parameter key="date_format" value=""/> <parameter key="first_row_as_names" value="true"/> <list key="annotations"/> <parameter key="time_zone" value="SYSTEM"/> <parameter key="locale" value="English (United States)"/> <parameter key="encoding" value="windows-1252"/> <parameter key="read_all_values_as_polynominal" value="false"/> <list key="data_set_meta_data_information"> <parameter key="0" value="G.true.real.attribute"/> <parameter key="1" value="P.true.real.attribute"/> <parameter key="2" value="A.true.real.attribute"/> <parameter key="3" value="V.true.real.attribute"/> <parameter key="4" value="L.true.real.attribute"/> <parameter key="5" value="I.true.real.attribute"/> <parameter key="6" value="M.true.real.attribute"/> <parameter key="7" value="C.true.real.attribute"/> <parameter key="8" value="F.true.real.attribute"/> <parameter key="9" value="Y.true.real.attribute"/> <parameter key="10" value="W.true.real.attribute"/> <parameter key="11" value="H.true.real.attribute"/> <parameter key="12" value="K.true.real.attribute"/> <parameter key="13" value="R.true.real.attribute"/> <parameter key="14" value="Q.true.real.attribute"/> <parameter key="15" value="N.true.real.attribute"/> <parameter key="16" value="E.true.real.attribute"/> <parameter key="17" value="D.true.real.attribute"/> <parameter key="18" value="S.true.real.attribute"/> <parameter key="19" value="T.true.real.attribute"/> <parameter key="20" value="Class.true.integer.attribute"/> </list> <parameter key="read_not_matching_values_as_missings" value="false"/> <parameter key="datamanagement" value="double_array"/> <parameter key="data_management" value="auto"/> </operator> <operator activated="true" class="read_csv" compatibility="9.5.000" expanded="true" height="68" name="Read CSV (2)" width="90" x="112" y="238"> <parameter key="csv_file" value="C:\Users\Lionel\Downloads\aa_counts_rna.csv"/> <parameter key="column_separators" value=","/> <parameter key="trim_lines" value="false"/> <parameter key="use_quotes" value="true"/> <parameter key="quotes_character" value="""/> <parameter key="escape_character" value="\"/> <parameter key="skip_comments" value="true"/> <parameter key="comment_characters" value="#"/> <parameter key="starting_row" value="1"/> <parameter key="parse_numbers" value="true"/> <parameter key="decimal_character" value="."/> <parameter key="grouped_digits" value="false"/> <parameter key="grouping_character" value=","/> <parameter key="infinity_representation" value=""/> <parameter key="date_format" value=""/> <parameter key="first_row_as_names" value="true"/> <list key="annotations"/> <parameter key="time_zone" value="SYSTEM"/> <parameter key="locale" value="English (United States)"/> <parameter key="encoding" value="windows-1252"/> <parameter key="read_all_values_as_polynominal" value="false"/> <list key="data_set_meta_data_information"> <parameter key="0" value="G.true.real.attribute"/> <parameter key="1" value="P.true.real.attribute"/> <parameter key="2" value="A.true.real.attribute"/> <parameter key="3" value="V.true.real.attribute"/> <parameter key="4" value="L.true.real.attribute"/> <parameter key="5" value="I.true.real.attribute"/> <parameter key="6" value="M.true.real.attribute"/> <parameter key="7" value="C.true.real.attribute"/> <parameter key="8" value="F.true.real.attribute"/> <parameter key="9" value="Y.true.real.attribute"/> <parameter key="10" value="W.true.real.attribute"/> <parameter key="11" value="H.true.real.attribute"/> <parameter key="12" value="K.true.real.attribute"/> <parameter key="13" value="R.true.real.attribute"/> <parameter key="14" value="Q.true.real.attribute"/> <parameter key="15" value="N.true.real.attribute"/> <parameter key="16" value="E.true.real.attribute"/> <parameter key="17" value="D.true.real.attribute"/> <parameter key="18" value="S.true.real.attribute"/> <parameter key="19" value="T.true.real.attribute"/> <parameter key="20" value="Class.true.integer.attribute"/> </list> <parameter key="read_not_matching_values_as_missings" value="false"/> <parameter key="datamanagement" value="double_array"/> <parameter key="data_management" value="auto"/> </operator> <operator activated="true" class="append" compatibility="9.5.000" expanded="true" height="103" name="Append" width="90" x="313" y="85"> <parameter key="datamanagement" value="double_array"/> <parameter key="data_management" value="auto"/> <parameter key="merge_type" value="all"/> </operator> <operator activated="true" class="set_role" compatibility="9.5.000" expanded="true" height="82" name="Set Role" width="90" x="447" y="85"> <parameter key="attribute_name" value="Class"/> <parameter key="target_role" value="label"/> <list key="set_additional_roles"/> </operator> <operator activated="true" class="numerical_to_polynominal" compatibility="9.5.000" expanded="true" height="82" name="Numerical to Polynominal" width="90" x="581" y="85"> <parameter key="attribute_filter_type" value="single"/> <parameter key="attribute" value="Class"/> <parameter key="attributes" value=""/> <parameter key="use_except_expression" value="false"/> <parameter key="value_type" value="numeric"/> <parameter key="use_value_type_exception" value="false"/> <parameter key="except_value_type" value="real"/> <parameter key="block_type" value="value_series"/> <parameter key="use_block_type_exception" value="false"/> <parameter key="except_block_type" value="value_series_end"/> <parameter key="invert_selection" value="false"/> <parameter key="include_special_attributes" value="true"/> </operator> <operator activated="true" class="concurrency:cross_validation" compatibility="9.5.000" expanded="true" height="145" name="Cross Validation" width="90" x="715" y="85"> <parameter key="split_on_batch_attribute" value="false"/> <parameter key="leave_one_out" value="false"/> <parameter key="number_of_folds" value="10"/> <parameter key="sampling_type" value="automatic"/> <parameter key="use_local_random_seed" value="false"/> <parameter key="local_random_seed" value="1992"/> <parameter key="enable_parallel_execution" value="true"/> <process expanded="true"> <operator activated="true" class="concurrency:parallel_decision_tree" compatibility="9.5.000" expanded="true" height="103" name="Decision Tree" width="90" x="112" y="34"> <parameter key="criterion" value="gain_ratio"/> <parameter key="maximal_depth" value="10"/> <parameter key="apply_pruning" value="true"/> <parameter key="confidence" value="0.1"/> <parameter key="apply_prepruning" value="true"/> <parameter key="minimal_gain" value="0.01"/> <parameter key="minimal_leaf_size" value="2"/> <parameter key="minimal_size_for_split" value="4"/> <parameter key="number_of_prepruning_alternatives" value="3"/> </operator> <connect from_port="training set" to_op="Decision Tree" to_port="training set"/> <connect from_op="Decision Tree" from_port="model" to_port="model"/> <portSpacing port="source_training set" spacing="0"/> <portSpacing port="sink_model" spacing="0"/> <portSpacing port="sink_through 1" spacing="0"/> </process> <process expanded="true"> <operator activated="true" class="apply_model" compatibility="9.5.000" expanded="true" height="82" name="Apply Model" width="90" x="45" y="34"> <list key="application_parameters"/> <parameter key="create_view" value="false"/> </operator> <operator activated="true" class="performance_binominal_classification" compatibility="9.5.000" expanded="true" height="82" name="Performance" width="90" x="179" y="34"> <parameter key="manually_set_positive_class" value="false"/> <parameter key="main_criterion" value="first"/> <parameter key="accuracy" value="true"/> <parameter key="classification_error" value="false"/> <parameter key="kappa" value="false"/> <parameter key="AUC (optimistic)" value="false"/> <parameter key="AUC" value="false"/> <parameter key="AUC (pessimistic)" value="false"/> <parameter key="precision" value="false"/> <parameter key="recall" value="false"/> <parameter key="lift" value="false"/> <parameter key="fallout" value="false"/> <parameter key="f_measure" value="false"/> <parameter key="false_positive" value="false"/> <parameter key="false_negative" value="false"/> <parameter key="true_positive" value="false"/> <parameter key="true_negative" value="false"/> <parameter key="sensitivity" value="false"/> <parameter key="specificity" value="false"/> <parameter key="youden" value="false"/> <parameter key="positive_predictive_value" value="false"/> <parameter key="negative_predictive_value" value="false"/> <parameter key="psep" value="false"/> <parameter key="skip_undefined_labels" value="true"/> <parameter key="use_example_weights" value="true"/> </operator> <connect from_port="model" to_op="Apply Model" to_port="model"/> <connect from_port="test set" to_op="Apply Model" to_port="unlabelled data"/> <connect from_op="Apply Model" from_port="labelled data" to_op="Performance" to_port="labelled data"/> <connect from_op="Performance" from_port="performance" to_port="performance 1"/> <portSpacing port="source_model" spacing="0"/> <portSpacing port="source_test set" spacing="0"/> <portSpacing port="source_through 1" spacing="0"/> <portSpacing port="sink_test set results" spacing="0"/> <portSpacing port="sink_performance 1" spacing="0"/> <portSpacing port="sink_performance 2" spacing="0"/> </process> </operator> <connect from_op="Read CSV" from_port="output" to_op="Append" to_port="example set 1"/> <connect from_op="Read CSV (2)" from_port="output" to_op="Append" to_port="example set 2"/> <connect from_op="Append" from_port="merged set" to_op="Set Role" to_port="example set input"/> <connect from_op="Set Role" from_port="example set output" to_op="Numerical to Polynominal" to_port="example set input"/> <connect from_op="Numerical to Polynominal" from_port="example set output" to_op="Cross Validation" to_port="example set"/> <connect from_op="Cross Validation" from_port="example set" to_port="result 1"/> <connect from_op="Cross Validation" from_port="performance 1" to_port="result 2"/> <portSpacing port="source_input 1" spacing="0"/> <portSpacing port="sink_result 1" spacing="0"/> <portSpacing port="sink_result 2" spacing="0"/> <portSpacing port="sink_result 3" spacing="0"/> </process> </operator> </process>
Hope this helps,
Regards,
Lionel
0 -
-
@indu
You don't set the parameters of the Split Data operators, that's why RM is raising an error.
I must admit that I don't understand what you want to do with these Split Data operators...
Please use the working process I shared in my last post.
Regards,
Lionel0 -
Ok i Got the results...thank you very much for the reply.0