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NoveltySVM.rmp
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<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="6.5.002">
<context>
<input/>
<output/>
<macros/>
</context>
<operator activated="true" class="process" compatibility="6.5.002" 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="6.5.002" expanded="true" height="60" name="Read CSV" width="90" x="112" y="255">
<parameter key="csv_file" value="/Users/wenjiezhong/Dropbox/AI/CrowdTruth/ThesisData/Tweet Machine Learning/Input/training.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="false"/>
<parameter key="comment_characters" value="#"/>
<parameter key="parse_numbers" value="true"/>
<parameter key="decimal_character" value="."/>
<parameter key="grouped_digits" value="false"/>
<parameter key="grouping_character" value=","/>
<parameter key="date_format" value="dd-MM HH:mm:ss"/>
<parameter key="first_row_as_names" value="false"/>
<list key="annotations">
<parameter key="0" value="Name"/>
</list>
<parameter key="time_zone" value="SYSTEM"/>
<parameter key="locale" value="English (United States)"/>
<parameter key="encoding" value="UTF-8"/>
<list key="data_set_meta_data_information">
<parameter key="0" value="Tweet Date.true.date_time.attribute"/>
<parameter key="1" value="Tweet Event Score.true.real.attribute"/>
<parameter key="2" value="Distance.true.integer.attribute"/>
<parameter key="3" value="user\.followers_count.true.integer.attribute"/>
<parameter key="4" value="user\.favourites_count.true.integer.attribute"/>
<parameter key="5" value="retweet_count.true.integer.attribute"/>
<parameter key="6" value="favorite_count.true.integer.attribute"/>
<parameter key="7" value="entities\.urls1.false.polynominal.attribute"/>
<parameter key="8" value="mediatype1.false.polynominal.attribute"/>
<parameter key="9" value="user\.friends_count.true.integer.attribute"/>
<parameter key="10" value="user\.listed_count.false.integer.attribute"/>
<parameter key="11" value="user\.url.true.binominal.attribute"/>
<parameter key="12" value="user\.description_length.true.integer.attribute"/>
<parameter key="13" value="user\.created_at.false.polynominal.attribute"/>
<parameter key="14" value="user\.profile_image_url.true.binominal.attribute"/>
<parameter key="15" value="user\.profile_banner_url.true.binominal.attribute"/>
<parameter key="16" value="user_has_wiki.false.polynominal.attribute"/>
<parameter key="17" value="wiki_entities_count.false.integer.attribute"/>
<parameter key="18" value="sentiment_score.false.real.attribute"/>
<parameter key="19" value="novelty.true.binominal.label"/>
</list>
<parameter key="read_not_matching_values_as_missings" value="true"/>
<parameter key="datamanagement" value="double_array"/>
</operator>
<operator activated="true" class="nominal_to_numerical" compatibility="6.5.002" expanded="true" height="94" name="Nominal to Numerical" width="90" x="246" y="255">
<parameter key="return_preprocessing_model" value="false"/>
<parameter key="create_view" value="false"/>
<parameter key="attribute_filter_type" value="all"/>
<parameter key="attribute" value=""/>
<parameter key="attributes" value=""/>
<parameter key="use_except_expression" value="false"/>
<parameter key="value_type" value="nominal"/>
<parameter key="use_value_type_exception" value="false"/>
<parameter key="except_value_type" value="file_path"/>
<parameter key="block_type" value="single_value"/>
<parameter key="use_block_type_exception" value="false"/>
<parameter key="except_block_type" value="single_value"/>
<parameter key="invert_selection" value="false"/>
<parameter key="include_special_attributes" value="false"/>
<parameter key="coding_type" value="dummy coding"/>
<parameter key="use_comparison_groups" value="false"/>
<list key="comparison_groups"/>
<parameter key="unexpected_value_handling" value="all 0 and warning"/>
<parameter key="use_underscore_in_name" value="false"/>
</operator>
<operator activated="true" class="read_csv" compatibility="6.5.002" expanded="true" height="60" name="Read CSV (2)" width="90" x="112" y="480">
<parameter key="csv_file" value="/Users/wenjiezhong/Dropbox/AI/CrowdTruth/ThesisData/Tweet Machine Learning/Input/testing.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="false"/>
<parameter key="comment_characters" value="#"/>
<parameter key="parse_numbers" value="true"/>
<parameter key="decimal_character" value="."/>
<parameter key="grouped_digits" value="false"/>
<parameter key="grouping_character" value=","/>
<parameter key="date_format" value="dd-MM HH:mm:ss"/>
<parameter key="first_row_as_names" value="false"/>
<list key="annotations">
<parameter key="0" value="Name"/>
</list>
<parameter key="time_zone" value="SYSTEM"/>
<parameter key="locale" value="English (United States)"/>
<parameter key="encoding" value="UTF-8"/>
<list key="data_set_meta_data_information">
<parameter key="0" value="Tweet Date.true.date_time.attribute"/>
<parameter key="1" value="Distance.true.integer.attribute"/>
<parameter key="2" value="Tweet Event Score.true.real.attribute"/>
<parameter key="3" value="user\.profile_image_url.true.binominal.attribute"/>
<parameter key="4" value="user\.profile_banner_url.true.binominal.attribute"/>
<parameter key="5" value="user\.followers_count.true.integer.attribute"/>
<parameter key="6" value="user\.favourites_count.true.integer.attribute"/>
<parameter key="7" value="retweet_count.true.integer.attribute"/>
<parameter key="8" value="favorite_count.true.integer.attribute"/>
<parameter key="9" value="user\.friends_count.true.integer.attribute"/>
<parameter key="10" value="user\.url.true.binominal.attribute"/>
<parameter key="11" value="user\.description_length.true.integer.attribute"/>
<parameter key="12" value="novelty.true.binominal.label"/>
</list>
<parameter key="read_not_matching_values_as_missings" value="true"/>
<parameter key="datamanagement" value="double_array"/>
</operator>
<operator activated="true" class="nominal_to_numerical" compatibility="6.5.002" expanded="true" height="94" name="Nominal to Numerical (2)" width="90" x="246" y="480">
<parameter key="return_preprocessing_model" value="false"/>
<parameter key="create_view" value="false"/>
<parameter key="attribute_filter_type" value="all"/>
<parameter key="attribute" value=""/>
<parameter key="attributes" value=""/>
<parameter key="use_except_expression" value="false"/>
<parameter key="value_type" value="nominal"/>
<parameter key="use_value_type_exception" value="false"/>
<parameter key="except_value_type" value="file_path"/>
<parameter key="block_type" value="single_value"/>
<parameter key="use_block_type_exception" value="false"/>
<parameter key="except_block_type" value="single_value"/>
<parameter key="invert_selection" value="false"/>
<parameter key="include_special_attributes" value="false"/>
<parameter key="coding_type" value="dummy coding"/>
<parameter key="use_comparison_groups" value="false"/>
<list key="comparison_groups"/>
<parameter key="unexpected_value_handling" value="all 0 and warning"/>
<parameter key="use_underscore_in_name" value="false"/>
</operator>
<operator activated="true" class="metacost" compatibility="6.5.002" expanded="true" height="76" name="MetaCost" width="90" x="447" y="255">
<parameter key="cost_matrix" value="[0.0 1.0;3.0 0.0]"/>
<parameter key="use_subset_for_training" value="1.0"/>
<parameter key="iterations" value="10"/>
<parameter key="sampling_with_replacement" value="true"/>
<parameter key="use_local_random_seed" value="false"/>
<parameter key="local_random_seed" value="1992"/>
<process expanded="true">
<operator activated="true" class="support_vector_machine" compatibility="6.5.002" expanded="true" height="112" name="SVM" width="90" x="246" y="120">
<parameter key="kernel_type" value="dot"/>
<parameter key="kernel_gamma" value="1.0"/>
<parameter key="kernel_sigma1" value="1.0"/>
<parameter key="kernel_sigma2" value="0.0"/>
<parameter key="kernel_sigma3" value="2.0"/>
<parameter key="kernel_shift" value="1.0"/>
<parameter key="kernel_degree" value="2.0"/>
<parameter key="kernel_a" value="1.0"/>
<parameter key="kernel_b" value="0.0"/>
<parameter key="kernel_cache" value="200"/>
<parameter key="C" value="0.0"/>
<parameter key="convergence_epsilon" value="0.001"/>
<parameter key="max_iterations" value="100000"/>
<parameter key="scale" value="true"/>
<parameter key="calculate_weights" value="true"/>
<parameter key="return_optimization_performance" value="true"/>
<parameter key="L_pos" value="1.0"/>
<parameter key="L_neg" value="1.0"/>
<parameter key="epsilon" value="0.0"/>
<parameter key="epsilon_plus" value="0.0"/>
<parameter key="epsilon_minus" value="0.0"/>
<parameter key="balance_cost" value="false"/>
<parameter key="quadratic_loss_pos" value="false"/>
<parameter key="quadratic_loss_neg" value="false"/>
<parameter key="estimate_performance" value="false"/>
</operator>
<connect from_port="training set" to_op="SVM" to_port="training set"/>
<connect from_op="SVM" from_port="model" to_port="model"/>
<portSpacing port="source_training set" spacing="0"/>
<portSpacing port="sink_model" spacing="0"/>
</process>
</operator>
<operator activated="true" class="apply_model" compatibility="6.5.002" expanded="true" height="76" name="Apply Model" width="90" x="581" y="345">
<list key="application_parameters"/>
<parameter key="create_view" value="false"/>
</operator>
<operator activated="true" class="performance" compatibility="6.5.002" expanded="true" height="76" name="Performance" width="90" x="849" y="435">
<parameter key="use_example_weights" value="true"/>
</operator>
<connect from_op="Read CSV" from_port="output" to_op="Nominal to Numerical" to_port="example set input"/>
<connect from_op="Nominal to Numerical" from_port="example set output" to_op="MetaCost" to_port="training set"/>
<connect from_op="Read CSV (2)" from_port="output" to_op="Nominal to Numerical (2)" to_port="example set input"/>
<connect from_op="Nominal to Numerical (2)" from_port="example set output" to_op="Apply Model" to_port="unlabelled data"/>
<connect from_op="MetaCost" from_port="model" to_op="Apply Model" to_port="model"/>
<connect from_op="Apply Model" from_port="labelled data" to_op="Performance" to_port="labelled data"/>
<connect from_op="Apply Model" from_port="model" to_port="result 1"/>
<connect from_op="Performance" from_port="performance" to_port="result 2"/>
<connect from_op="Performance" from_port="example set" to_port="result 3"/>
<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"/>
<portSpacing port="sink_result 4" spacing="0"/>
</process>
</operator>
</process>