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searcher wrote:I'm trying to use Backward elimination, forward selection and optimize selection operators to find useful predictors for scoring in my data.I have 50 variables, 1500 samples.How long will the Backward elimination, forward selection and optimize selection operators work for my data? Is any standards of efficiency for this algorithms ?
<?xml version="1.0" encoding="UTF-8" standalone="no"?><process version="5.0"> <context> <input/> <output/> <macros/> </context> <operator activated="true" class="process" expanded="true" name="Process"> <process expanded="true" height="-20" width="-50"> <operator activated="true" class="optimize_selection_backward" expanded="true" height="94" name="Backward Elimination" width="90" x="150" y="48"> <process expanded="true"> <operator activated="true" class="split_validation" expanded="true" name="Validation"> <parameter key="parallelize_training" value="true"/> <parameter key="parallelize_testing" value="true"/> <process expanded="true"> <operator activated="false" class="multiply" expanded="true" name="Multiply"/> <operator activated="false" class="nominal_to_numerical" expanded="true" name="Nominal to Numerical (2)"> <parameter key="create_view" value="true"/> <parameter key="attribute_filter_type" value="single"/> <parameter key="attribute" value="DEFSTATUS"/> </operator> <operator activated="false" class="polynomial_regression" expanded="true" name="Polynomial Regression"> <parameter key="use_local_random_seed" value="true"/> </operator> <operator activated="true" class="multiply" expanded="true" name="Multiply (2)"/> <operator activated="true" class="logistic_regression" expanded="true" name="Logistic Regression"> <parameter key="kernel_type" value="polynomial"/> <parameter key="convergence_epsilon" value="1.0E-5"/> </operator> <connect from_port="training" to_op="Multiply (2)" to_port="input"/> <connect from_op="Multiply (2)" from_port="output 1" to_port="through 1"/> <connect from_op="Multiply (2)" from_port="output 2" to_op="Logistic Regression" to_port="training set"/> <connect from_op="Logistic Regression" from_port="model" to_port="model"/> <portSpacing port="source_training" spacing="0"/> <portSpacing port="sink_model" spacing="0"/> <portSpacing port="sink_through 1" spacing="0"/> <portSpacing port="sink_through 2" spacing="0"/> </process> <process expanded="true"> <operator activated="false" class="select_attributes" expanded="true" name="Select Attributes (5)"> <parameter key="attribute_filter_type" value="subset"/> <parameter key="attributes" value="DEFSTATUS|AMOUNT_USD|MONTHLY_REPAYMENT_USD|TERM|DISB_FEE|MONTHLY_FEE|INTEREST_RATE|AGREEM*ENTER|OWNERSHIP*POST|ENTER"/> <parameter key="include_special_attributes" value="true"/> </operator> <operator activated="true" class="multiply" expanded="true" name="Multiply (3)"/> <operator activated="true" class="apply_model" expanded="true" name="Apply Model (3)"> <list key="application_parameters"/> </operator> <operator activated="true" class="performance" expanded="true" name="Selection_Training"/> <operator activated="true" class="apply_model" expanded="true" name="Apply Model"> <list key="application_parameters"/> </operator> <operator activated="true" class="performance" expanded="true" name="Test"/> <connect from_port="model" to_op="Multiply (3)" to_port="input"/> <connect from_port="test set" to_op="Apply Model" to_port="unlabelled data"/> <connect from_port="through 1" to_op="Apply Model (3)" to_port="unlabelled data"/> <connect from_op="Multiply (3)" from_port="output 1" to_op="Apply Model" to_port="model"/> <connect from_op="Multiply (3)" from_port="output 2" to_op="Apply Model (3)" to_port="model"/> <connect from_op="Apply Model (3)" from_port="labelled data" to_op="Selection_Training" to_port="labelled data"/> <connect from_op="Selection_Training" from_port="performance" to_port="averagable 2"/> <connect from_op="Apply Model" from_port="labelled data" to_op="Test" to_port="labelled data"/> <connect from_op="Test" from_port="performance" to_port="averagable 1"/> <portSpacing port="source_model" spacing="0"/> <portSpacing port="source_test set" spacing="0"/> <portSpacing port="source_through 1" spacing="0"/> <portSpacing port="source_through 2" spacing="0"/> <portSpacing port="sink_averagable 1" spacing="0"/> <portSpacing port="sink_averagable 2" spacing="0"/> <portSpacing port="sink_averagable 3" spacing="0"/> </process> </operator> <connect from_port="example set" to_op="Validation" to_port="training"/> <connect from_op="Validation" from_port="averagable 2" to_port="performance"/> <portSpacing port="source_example set" spacing="0"/> <portSpacing port="sink_performance" spacing="0"/> </process> </operator> <operator activated="true" class="split_validation" expanded="true" height="130" name="Validation (2)" width="90" x="378" y="111"> <process expanded="true"> <operator activated="false" class="multiply" expanded="true" name="Multiply (4)"/> <operator activated="false" class="nominal_to_numerical" expanded="true" name="Nominal to Numerical (5)"> <parameter key="create_view" value="true"/> <parameter key="attribute_filter_type" value="single"/> <parameter key="attribute" value="DEFSTATUS"/> </operator> <operator activated="false" class="polynomial_regression" expanded="true" name="Polynomial Regression (2)"> <parameter key="use_local_random_seed" value="true"/> </operator> <operator activated="true" class="multiply" expanded="true" name="Multiply (5)"/> <operator activated="true" class="logistic_regression" expanded="true" name="Logistic Regression (2)"> <parameter key="kernel_type" value="polynomial"/> <parameter key="convergence_epsilon" value="1.0E-5"/> </operator> <connect from_port="training" to_op="Multiply (5)" to_port="input"/> <connect from_op="Multiply (5)" from_port="output 1" to_port="through 1"/> <connect from_op="Multiply (5)" from_port="output 2" to_op="Logistic Regression (2)" to_port="training set"/> <connect from_op="Logistic Regression (2)" from_port="model" to_port="model"/> <portSpacing port="source_training" spacing="0"/> <portSpacing port="sink_model" spacing="0"/> <portSpacing port="sink_through 1" spacing="0"/> <portSpacing port="sink_through 2" spacing="0"/> </process> <process expanded="true"> <operator activated="false" class="select_attributes" expanded="true" name="Select Attributes (7)"> <parameter key="attribute_filter_type" value="subset"/> <parameter key="attributes" value="DEFSTATUS|AMOUNT_USD|MONTHLY_REPAYMENT_USD|TERM|DISB_FEE|MONTHLY_FEE|INTEREST_RATE|AGREEM*ENTER|OWNERSHIP*POST|ENTER"/> <parameter key="include_special_attributes" value="true"/> </operator> <operator activated="true" class="multiply" expanded="true" name="Multiply (6)"/> <operator activated="true" class="apply_model" expanded="true" name="Apply Model (4)"> <list key="application_parameters"/> </operator> <operator activated="true" class="performance" expanded="true" name="Training (2)"/> <operator activated="true" class="apply_model" expanded="true" name="Apply Model (5)"> <list key="application_parameters"/> </operator> <operator activated="true" class="performance" expanded="true" name="Test (2)"/> <connect from_port="model" to_op="Multiply (6)" to_port="input"/> <connect from_port="test set" to_op="Apply Model (5)" to_port="unlabelled data"/> <connect from_port="through 1" to_op="Apply Model (4)" to_port="unlabelled data"/> <connect from_op="Multiply (6)" from_port="output 1" to_op="Apply Model (5)" to_port="model"/> <connect from_op="Multiply (6)" from_port="output 2" to_op="Apply Model (4)" to_port="model"/> <connect from_op="Apply Model (4)" from_port="labelled data" to_op="Training (2)" to_port="labelled data"/> <connect from_op="Training (2)" from_port="performance" to_port="averagable 2"/> <connect from_op="Apply Model (5)" from_port="labelled data" to_op="Test (2)" to_port="labelled data"/> <connect from_op="Test (2)" from_port="performance" to_port="averagable 1"/> <portSpacing port="source_model" spacing="0"/> <portSpacing port="source_test set" spacing="0"/> <portSpacing port="source_through 1" spacing="0"/> <portSpacing port="source_through 2" spacing="0"/> <portSpacing port="sink_averagable 1" spacing="0"/> <portSpacing port="sink_averagable 2" spacing="0"/> <portSpacing port="sink_averagable 3" spacing="0"/> </process> </operator> <connect from_port="input 1" to_op="Backward Elimination" to_port="example set"/> <connect from_op="Backward Elimination" from_port="example set" to_op="Validation (2)" to_port="training"/> <connect from_op="Backward Elimination" from_port="attribute weights" to_port="result 1"/> <connect from_op="Backward Elimination" from_port="performance" to_port="result 2"/> <connect from_op="Validation (2)" from_port="model" to_port="result 5"/> <connect from_op="Validation (2)" from_port="averagable 1" to_port="result 3"/> <connect from_op="Validation (2)" from_port="averagable 2" to_port="result 4"/> <portSpacing port="source_input 1" spacing="0"/> <portSpacing port="source_input 2" spacing="0"/> <portSpacing port="sink_result 1" spacing="0"/> <portSpacing port="sink_result 2" spacing="0"/> <portSpacing port="sink_result 3" spacing="0"/> <portSpacing port="sink_result 4" spacing="0"/> <portSpacing port="sink_result 5" spacing="0"/> <portSpacing port="sink_result 6" spacing="0"/> </process> </operator></process>
searcher wrote:Hi,Then the short answer is that your process does not do what you describe as your goal, whatever the data.