Evidence Harmonization

Analysis and synthesis of Public Works and Infrastructure clustering, Decision Tree, and Apriori outputs.

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Showing 4500 of 4500 respondent records. Predictive model scores remain the full-sample reference unless retraining is explicitly run.

Finding 1

Citizen segment evidence

Available

The clustering result identifies citizen segments and shows whether any segment has lower awareness, lower availment, lower satisfaction, or higher need for action.

Finding 2

Classification evidence

48 indicator models

The decision-tree classification uses citizen segment membership and profile variables as predictors. Most current indicator results are grouped as needs more predictors, which guides how strongly the result may be interpreted.

Finding 3

Association-rule evidence

Lift 1.02

The strongest repeated service-stage pattern is: Respondents who were aware of the public_works, and felt a need for further action, and were satisfied with the public_works had a 95% likelihood of also availed the public_works (Lift: 1.02). This pattern was observed together 95.3% of the time for the eligible records.

What do the analytical results collectively show?

For Public Works and Infrastructure, the harmonized evidence identifies this service-stage concern: Awareness Gap in Information and reading center (70.7%). The recurring factor to check is Source of Drinking Water (Housing and living conditions) appears in 32 model(s) across 4 stage(s). The repeated service-stage pattern is Availment pattern: 95.3% confidence, lift 1.02. Together, these findings show whether the service-stage, citizen-segment, classification, and association-rule evidence point toward the same analytical interpretation.

Evidence agreement: strong consensus. The findings should be checked against local service records and field context before they are used for planning. Proposed actions, responsible offices, and monitoring indicators are presented separately in the Decision Support module.

This page harmonizes descriptive, clustering, classification, statistical, and association evidence for examination and validation. Proposed LGU actions are presented separately in the Decision Support module.

Consensus Feature Analysis

Evidence Source Agreement

4 sources
Consensus evidence checks whether different analytical outputs point toward the same interpretation. It helps avoid relying on only one model or one metric.
Evidence Sources 4
Evidence Agreement Strong consensus
Evidence Source Main Signal Interpretive Value Status
Descriptive service-stage review Awareness Gap in Information and reading center (70.7%). Identifies the service-stage issue that should be checked first. Available
Chi-square / statistical support Sex shows strong relationship by Chi-square (effect 0.543, p=<0.001). Shows which profile variable meaningfully separates citizen segments before planning targeted action. Available
Decision Tree recurring variable Source of Drinking Water appears across 32 model(s) and 4 stage(s). Identifies a repeated predictor that can guide validation and targeting. Available
Association rule mining Availment pattern with 95.3% confidence and lift 1.02. Shows which service-stage responses repeatedly appear together and should be validated. Available
Public Works and Infrastructure has converging evidence from descriptive review, statistical support, classification, and association rules. The combined result supports a strong integrated analytical interpretation.
Recurring Predictor Evidence

Recurring Variables Across Models

15 variables
This review counts which predictors repeatedly appear with positive importance across the saved indicator-level Decision Tree models. It helps identify citizen characteristics that consistently support interpretation across service-stage outcomes.
Models Reviewed 48
Recurring Predictors 26
Most Repeated Predictor Source of Drinking Water
Main Predictor Group MCA profile dimension
Recurring Variable Evidence Group Model Coverage Stage Coverage Analytical Interpretation Evidence Relevance
Source of Drinking Water Housing and living conditions 32 models Appears in 32 indicator-level Decision Tree model(s). 4 stages Covers 4 CSIS stage(s): Awareness, Availment, Satisfaction, Need for Action. Household conditions or information access may be linked with how citizens know about and use LGU services. Check whether household access conditions affect service reach, communication channels, or ability to avail services.
MCA Dim2 MCA profile dimension 30 models Appears in 30 indicator-level Decision Tree model(s). 4 stages Covers 4 CSIS stage(s): Awareness, Availment, Satisfaction, Need for Action. This is a combined profile signal from MCA. It should be read as a summary of related respondent characteristics, not as one survey question. Review the underlying profile traits behind this MCA signal before translating it into a specific program action.
Source of Information Housing and living conditions 30 models Appears in 30 indicator-level Decision Tree model(s). 4 stages Covers 4 CSIS stage(s): Awareness, Availment, Satisfaction, Need for Action. Household conditions or information access may be linked with how citizens know about and use LGU services. Check whether household access conditions affect service reach, communication channels, or ability to avail services.
MCA Dim1 MCA profile dimension 28 models Appears in 28 indicator-level Decision Tree model(s). 4 stages Covers 4 CSIS stage(s): Awareness, Availment, Satisfaction, Need for Action. This is a combined profile signal from MCA. It should be read as a summary of related respondent characteristics, not as one survey question. Review the underlying profile traits behind this MCA signal before translating it into a specific program action.
MCA DimMagnitude MCA profile dimension 28 models Appears in 28 indicator-level Decision Tree model(s). 4 stages Covers 4 CSIS stage(s): Awareness, Availment, Satisfaction, Need for Action. This is a combined profile signal from MCA. It should be read as a summary of related respondent characteristics, not as one survey question. Review the underlying profile traits behind this MCA signal before translating it into a specific program action.
Highest Educational Attainment Socio-demographic profile 27 models Appears in 27 indicator-level Decision Tree model(s). 4 stages Covers 4 CSIS stage(s): Awareness, Availment, Satisfaction, Need for Action. This respondent profile characteristic may help explain differences in awareness, service use, satisfaction, or need for action. Use the profile characteristic to refine target groups for information campaigns, eligibility review, or monitoring.
Employment Status Socio-demographic profile 16 models Appears in 16 indicator-level Decision Tree model(s). 4 stages Covers 4 CSIS stage(s): Awareness, Availment, Satisfaction, Need for Action. This respondent profile characteristic may help explain differences in awareness, service use, satisfaction, or need for action. Use the profile characteristic to refine target groups for information campaigns, eligibility review, or monitoring.
Age Group Socio-demographic profile 16 models Appears in 16 indicator-level Decision Tree model(s). 4 stages Covers 4 CSIS stage(s): Awareness, Availment, Satisfaction, Need for Action. This respondent profile characteristic may help explain differences in awareness, service use, satisfaction, or need for action. Use the profile characteristic to refine target groups for information campaigns, eligibility review, or monitoring.
House Ownership Housing and living conditions 14 models Appears in 14 indicator-level Decision Tree model(s). 4 stages Covers 4 CSIS stage(s): Awareness, Availment, Satisfaction, Need for Action. Household conditions or information access may be linked with how citizens know about and use LGU services. Check whether household access conditions affect service reach, communication channels, or ability to avail services.
4Ps Beneficiary Housing and living conditions 13 models Appears in 13 indicator-level Decision Tree model(s). 4 stages Covers 4 CSIS stage(s): Awareness, Availment, Satisfaction, Need for Action. Household conditions or information access may be linked with how citizens know about and use LGU services. Check whether household access conditions affect service reach, communication channels, or ability to avail services.
Relationship to HH Head Socio-demographic profile 12 models Appears in 12 indicator-level Decision Tree model(s). 4 stages Covers 4 CSIS stage(s): Awareness, Availment, Satisfaction, Need for Action. This respondent profile characteristic may help explain differences in awareness, service use, satisfaction, or need for action. Use the profile characteristic to refine target groups for information campaigns, eligibility review, or monitoring.
Civil Status Socio-demographic profile 12 models Appears in 12 indicator-level Decision Tree model(s). 4 stages Covers 4 CSIS stage(s): Awareness, Availment, Satisfaction, Need for Action. This respondent profile characteristic may help explain differences in awareness, service use, satisfaction, or need for action. Use the profile characteristic to refine target groups for information campaigns, eligibility review, or monitoring.
HH Toilet Type Housing and living conditions 11 models Appears in 11 indicator-level Decision Tree model(s). 3 stages Covers 3 CSIS stage(s): Awareness, Availment, Satisfaction. Household conditions or information access may be linked with how citizens know about and use LGU services. Check whether household access conditions affect service reach, communication channels, or ability to avail services.
Source of Electricty Housing and living conditions 11 models Appears in 11 indicator-level Decision Tree model(s). 4 stages Covers 4 CSIS stage(s): Awareness, Availment, Satisfaction, Need for Action. Household conditions or information access may be linked with how citizens know about and use LGU services. Check whether household access conditions affect service reach, communication channels, or ability to avail services.
Cluster 3 Citizen segment 10 models Appears in 10 indicator-level Decision Tree model(s). 4 stages Covers 4 CSIS stage(s): Awareness, Availment, Satisfaction, Need for Action. Citizen segment membership repeatedly helps separate service-stage outcomes, suggesting that grouped profile patterns provide useful context for service review. Use the linked citizen segment to prioritize field validation, targeted communication, and service-office follow-up.
A recurring predictor is decision-support evidence, not proof of causation. Use it together with the indicator-level metrics, decision-tree example, clustering results, and service delivery review.
Association-Rule Evidence

Repeated Service-Stage Patterns

8 rules
Association-rule evidence shows which CSIS service-stage responses commonly appear together. Use these repeated patterns to decide which service-stage link needs validation by the LGU.
Patterns Reviewed 12
Top Result Area Availment
Top Confidence 95.3%
Top Lift 1.02
Rule Result Area Repeated Pattern Support Confidence Lift Meaning Interpretive Relevance
Rule 1 Availment Citizens who were aware of the public works and infrastructure, and felt a need for further action, and were satisfied with the public works and infrastructure had a 95% likelihood of also availed the public works and infrastructure (Lift: 1.02). 34.9% seen in eligible records 95.3% observed together 1.02 Strong This rule is about movement from awareness to actual service use. The linked response is observed together 95.3% of the time and appears close to the ordinary baseline rate. Use this pattern to check whether citizens who know about Public Works and Infrastructure can actually access the service.
Rule 2 Availment Citizens who were aware of the public works and infrastructure had a 86% likelihood of also availed the public works and infrastructure, and were satisfied with the public works and infrastructure (Lift: 1.02). 74.5% seen in eligible records 85.9% observed together 1.02 Strong This rule is about movement from awareness to actual service use. The linked response is observed together 85.9% of the time and appears close to the ordinary baseline rate. Use this pattern to check whether citizens who know about Public Works and Infrastructure can actually access the service.
Rule 3 Availment Citizens who were aware of the public works and infrastructure, and were satisfied with the public works and infrastructure had a 95% likelihood of also availed the public works and infrastructure (Lift: 1.02). 74.5% seen in eligible records 94.9% observed together 1.02 Strong This rule is about movement from awareness to actual service use. The linked response is observed together 94.9% of the time and appears close to the ordinary baseline rate. Use this pattern to check whether citizens who know about Public Works and Infrastructure can actually access the service.
Rule 4 Awareness Citizens who availed the public works and infrastructure had a 80% likelihood of also were aware of the public works and infrastructure, and were satisfied with the public works and infrastructure (Lift: 1.02). 74.5% seen in eligible records 80.2% observed together 1.02 Strong This rule is about awareness and information reach. The linked response is observed together 80.2% of the time and appears close to the ordinary baseline rate. Use this pattern to validate where Public Works and Infrastructure information campaigns or barangay communication may need strengthening.
Rule 5 Satisfaction Citizens who were aware of the public works and infrastructure, and availed the public works and infrastructure had a 91% likelihood of also were satisfied with the public works and infrastructure (Lift: 1.02). 74.5% seen in eligible records 91.3% observed together 1.02 Strong This rule is about citizen experience after service use. The linked response is observed together 91.3% of the time and appears close to the ordinary baseline rate. Use this pattern to review service quality, frontline experience, and satisfaction drivers for Public Works and Infrastructure.
Rule 6 Availment Citizens who were aware of the public works and infrastructure had a 94% likelihood of also availed the public works and infrastructure (Lift: 1.01). 81.7% seen in eligible records 94.2% observed together 1.01 Strong This rule is about movement from awareness to actual service use. The linked response is observed together 94.2% of the time and appears close to the ordinary baseline rate. Use this pattern to check whether citizens who know about Public Works and Infrastructure can actually access the service.
Rule 7 Satisfaction Citizens who availed the public works and infrastructure had a 90% likelihood of also were satisfied with the public works and infrastructure (Lift: 1.01). 83.9% seen in eligible records 90.3% observed together 1.01 Strong This rule is about citizen experience after service use. The linked response is observed together 90.3% of the time and appears close to the ordinary baseline rate. Use this pattern to review service quality, frontline experience, and satisfaction drivers for Public Works and Infrastructure.
Rule 8 Availment Citizens who were aware of the public works and infrastructure, and felt a need for further action had a 94% likelihood of also availed the public works and infrastructure (Lift: 1.01). 40.5% seen in eligible records 93.9% observed together 1.01 Strong This rule is about movement from awareness to actual service use. The linked response is observed together 93.9% of the time and appears close to the ordinary baseline rate. Use this pattern to check whether citizens who know about Public Works and Infrastructure can actually access the service.
Association rules show co-occurrence, not causation. A high-confidence rule should still be checked against service records, citizen feedback, and field context before implementation.
Next Step: Decision Support

After examining and validating the harmonized evidence, continue to the Decision Support module to review planning-oriented recommendations and their traceability paths.

Open Decision Support
Showing 4500 of 4500 respondent records for All Mindanao records.