Falvay 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   23  0.7631  0.0039  0.0639  0.066  0.5731  0.18
Ashkenazy 1981   13  0.784  0.0210  0.1015  0.4732  0.1726  0.28
Beliavsky 2004   38  0.729  0.0127  0.0826  0.235  0.5018  0.34
BenOr 1989   4  0.8033  0.005  0.134  0.6320  0.447  0.53
Biret 1990   8  0.7951  0.0015  0.1114  0.4931  0.2122  0.32
Blet 2003   6  0.808  0.013  0.173  0.652  0.752  0.70
Block 1995   15  0.7821  0.0025  0.1325  0.2815  0.4119  0.34
Brailowsky 1960   32  0.7435  0.0030  0.0630  0.177  0.5623  0.31
Chiu 1999   2  0.812  0.142  0.432  0.732  0.741  0.73
Clidat 1994   18  0.7753  0.0024  0.1322  0.413  0.716  0.54
Cohen 1997   27  0.7552  0.0042  0.0835  0.084  0.5830  0.22
Coop 1987   14  0.7822  0.0012  0.107  0.5721  0.458  0.51
Cortot 1951   9  0.7930  0.0021  0.1116  0.4516  0.4513  0.45
Czerny 1949   36  0.7325  0.0044  0.1133  0.1132  0.1343  0.12
Czerny 1949b   54  0.6428  0.0047  0.0548  0.0543  0.0753  0.06
Ezaki 2006   7  0.797  0.0116  0.1218  0.4424  0.4116  0.42
Falvay 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ferenczy 1958   59  0.5741  0.0063  0.0547  0.0559  0.0462  0.04
Fiorentino 1962   17  0.7765  0.0014  0.1112  0.5131  0.2320  0.34
Fliere 1977   16  0.7810  0.0117  0.098  0.5412  0.555  0.54
Fou 1978   42  0.7145  0.0036  0.0642  0.0639  0.0848  0.07
Francois 1956   58  0.5837  0.0051  0.0459  0.043  0.7435  0.17
Hatto 1997   12  0.7816  0.0011  0.1013  0.495  0.644  0.56
Horowitz 1971   56  0.6147  0.0056  0.0462  0.0441  0.0760  0.05
Horowitz 1985   60  0.5648  0.0052  0.0461  0.0433  0.0951  0.06
Indjic 2001   10  0.7939  0.0022  0.1017  0.4512  0.4612  0.45
Kapell 1951   19  0.776  0.0223  0.1120  0.4231  0.2124  0.30
Kiepura 1999   45  0.6924  0.0045  0.0553  0.0520  0.3739  0.14
Kilenyi 1937   44  0.6942  0.0034  0.0640  0.0633  0.1147  0.08
Kissin 1993   29  0.7555  0.0019  0.1421  0.4246  0.0541  0.14
Kitain 1937   63  0.5336  0.0062  0.0554  0.0530  0.1845  0.09
Kushner 1990   52  0.6443  0.0058  0.0458  0.0430  0.1746  0.08
Levy 1951   28  0.7520  0.0018  0.1023  0.3926  0.3317  0.36
Luisada 1990   24  0.7519  0.0043  0.0834  0.0839  0.0749  0.07
Lushtak 2004   37  0.7211  0.0137  0.0644  0.0610  0.4934  0.17
Lympany 1968   39  0.7263  0.0040  0.0738  0.0715  0.4232  0.17
Magaloff 1977   41  0.7144  0.0028  0.0728  0.1942  0.0744  0.12
Magaloff 1977b   40  0.7114  0.0029  0.0829  0.1832  0.1437  0.16
Magin 1975   20  0.7618  0.0035  0.0643  0.0631  0.3440  0.14
Milkina 1970   33  0.743  0.0431  0.0632  0.149  0.4527  0.25
Mohovich 1999   21  0.7638  0.0020  0.1119  0.4317  0.4315  0.43
Nadelmann 1956   35  0.7329  0.0032  0.0831  0.1516  0.3728  0.24
Ohlsson 1999   53  0.6460  0.0059  0.0456  0.0444  0.0561  0.04
Olejniczac 1990   11  0.7966  0.009  0.1010  0.5432  0.2021  0.33
Olejniczak 1991   34  0.7413  0.0113  0.1024  0.3330  0.2525  0.29
Osinska 1989   5  0.8012  0.016  0.135  0.6224  0.3311  0.45
Paderewski 1912   62  0.5357  0.0061  0.0460  0.0459  0.0463  0.04
Perahia 1994   48  0.6617  0.0038  0.0736  0.0710  0.3836  0.16
Perlemuter 1986   43  0.6926  0.0046  0.0546  0.056  0.5733  0.17
Poblocka 1999   3  0.8123  0.004  0.166  0.6028  0.3114  0.43
Rangell 2001   26  0.7561  0.0026  0.0827  0.2029  0.2729  0.23
Risler 1920   61  0.5546  0.0060  0.0552  0.0547  0.0656  0.05
Rosen 1989   47  0.6749  0.0050  0.0545  0.0513  0.4538  0.15
Rubinstein 1939   55  0.6315  0.0053  0.0550  0.0533  0.0852  0.06
Rubinstein 1952   49  0.6632  0.0054  0.0455  0.0451  0.0565  0.04
Rubinstein 1966   50  0.6550  0.0055  0.0463  0.0437  0.0657  0.05
Rummel 1943   57  0.5958  0.0057  0.0457  0.0451  0.0564  0.04
Shebanova 2002   46  0.6934  0.0049  0.0641  0.0642  0.0558  0.05
Smith 1975   22  0.7627  0.008  0.129  0.5416  0.4010  0.46
Szpilman 1948   51  0.6559  0.0048  0.0549  0.0550  0.0555  0.05
Uninsky 1971   31  0.745  0.027  0.1211  0.5311  0.499  0.51
Wasowski 1980   25  0.7554  0.0033  0.0551  0.0537  0.0850  0.06
Weissenberg 1971   30  0.7440  0.0041  0.0737  0.0754  0.0554  0.06
Average   1  0.871  0.661  0.651  0.8924  0.403  0.60
Random 1    64  0.0364  0.0064  0.0364  0.034  0.5742  0.13
Random 2   65  0.0162  0.0065  0.0265  0.0248  0.0366  0.02
Random 3   66  0.0156  0.0066  0.0166  0.0119  0.2959  0.05

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).