Francois 1956

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   32  0.634  0.094  0.206  0.5725  0.321  0.43
Ashkenazy 1981   6  0.686  0.038  0.144  0.5848  0.068  0.19
Beliavsky 2004   31  0.6346  0.0038  0.0637  0.0638  0.0739  0.06
BenOr 1989   3  0.703  0.143  0.253  0.6047  0.069  0.19
Biret 1990   56  0.5326  0.0056  0.0546  0.0556  0.0461  0.04
Blet 2003   36  0.6342  0.0019  0.1117  0.3646  0.0522  0.13
Block 1995   54  0.5644  0.0054  0.0457  0.0453  0.0459  0.04
Brailowsky 1960   45  0.6050  0.0045  0.0547  0.0534  0.1036  0.07
Chiu 1999   53  0.5755  0.0053  0.0361  0.0355  0.0556  0.04
Clidat 1994   25  0.6449  0.0024  0.0822  0.2939  0.0623  0.13
Cohen 1997   61  0.4412  0.0159  0.0451  0.0418  0.4424  0.13
Coop 1987   21  0.6517  0.0114  0.1414  0.4251  0.0520  0.14
Cortot 1951   55  0.5440  0.0060  0.0456  0.0444  0.0654  0.05
Czerny 1949   17  0.6657  0.0029  0.0729  0.1856  0.0531  0.09
Czerny 1949b   9  0.6727  0.0027  0.0728  0.2057  0.0430  0.09
Ezaki 2006   16  0.6654  0.0021  0.1020  0.3248  0.0618  0.14
Falvay 1989   30  0.6413  0.0118  0.0821  0.3046  0.0719  0.14
Ferenczy 1958   57  0.5324  0.0049  0.0362  0.0346  0.0658  0.04
Fiorentino 1962   42  0.6165  0.0050  0.0360  0.0361  0.0462  0.03
Fliere 1977   5  0.6935  0.009  0.147  0.5539  0.086  0.21
Fou 1978   10  0.6728  0.0013  0.1212  0.4541  0.087  0.19
Francois 1956   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Hatto 1997   43  0.6060  0.0033  0.0545  0.0542  0.0741  0.06
Horowitz 1971   47  0.6052  0.0039  0.0636  0.0654  0.0553  0.05
Horowitz 1985   60  0.4748  0.0062  0.0640  0.0662  0.0445  0.05
Indjic 2001   41  0.6156  0.0031  0.0631  0.1246  0.0734  0.09
Kapell 1951   34  0.6314  0.0116  0.0726  0.2152  0.0625  0.11
Kiepura 1999   37  0.6241  0.0052  0.0453  0.0455  0.0555  0.04
Kilenyi 1937   13  0.6631  0.0023  0.0719  0.3339  0.0717  0.15
Kissin 1993   14  0.6621  0.0012  0.1213  0.4440  0.0711  0.18
Kitain 1937   62  0.4232  0.0061  0.0452  0.0426  0.2529  0.10
Kushner 1990   11  0.669  0.025  0.145  0.5850  0.0512  0.17
Levy 1951   59  0.5119  0.0036  0.0544  0.0552  0.0548  0.05
Luisada 1990   12  0.6630  0.0030  0.0730  0.1454  0.0632  0.09
Lushtak 2004   18  0.6562  0.0028  0.0824  0.2259  0.0433  0.09
Lympany 1968   40  0.6147  0.0048  0.0549  0.0554  0.0544  0.05
Magaloff 1977   23  0.6529  0.0020  0.1316  0.3744  0.0715  0.16
Magaloff 1977b   33  0.6334  0.0025  0.0727  0.2054  0.0528  0.10
Magin 1975   27  0.6436  0.0043  0.0548  0.0554  0.0549  0.05
Milkina 1970   7  0.688  0.0215  0.138  0.5447  0.0610  0.18
Mohovich 1999   19  0.6537  0.0010  0.1018  0.3338  0.0816  0.16
Nadelmann 1956   44  0.6045  0.0035  0.0641  0.0642  0.0640  0.06
Ohlsson 1999   51  0.5723  0.0055  0.0459  0.0445  0.0750  0.05
Olejniczac 1990   38  0.6259  0.0042  0.0734  0.0753  0.0642  0.06
Olejniczak 1991   46  0.6061  0.0051  0.0458  0.0458  0.0557  0.04
Osinska 1989   1  0.741  0.341  0.331  0.8045  0.075  0.24
Paderewski 1912   26  0.6443  0.0022  0.0923  0.2648  0.0526  0.11
Perahia 1994   58  0.5338  0.0058  0.0455  0.0442  0.0560  0.04
Perlemuter 1986   2  0.742  0.162  0.352  0.6724  0.252  0.41
Poblocka 1999   22  0.6525  0.0041  0.0735  0.0762  0.0446  0.05
Rangell 2001   39  0.6139  0.0040  0.0833  0.0855  0.0543  0.06
Risler 1920   49  0.5816  0.0146  0.0450  0.0439  0.0747  0.05
Rosen 1989   52  0.5751  0.0057  0.0642  0.0656  0.0552  0.05
Rubinstein 1939   48  0.5918  0.0047  0.0454  0.0431  0.1337  0.07
Rubinstein 1952   28  0.6415  0.0117  0.0715  0.4142  0.0521  0.14
Rubinstein 1966   35  0.637  0.0211  0.1111  0.4730  0.174  0.28
Rummel 1943   24  0.6533  0.0037  0.0638  0.0623  0.1727  0.10
Shebanova 2002   20  0.6511  0.0126  0.0725  0.2233  0.1114  0.16
Smith 1975   4  0.6910  0.027  0.1410  0.5042  0.0513  0.16
Szpilman 1948   8  0.675  0.036  0.159  0.5231  0.253  0.36
Uninsky 1971   15  0.6653  0.0034  0.0639  0.0652  0.0551  0.05
Wasowski 1980   29  0.6420  0.0044  0.0543  0.0540  0.0738  0.06
Weissenberg 1971   50  0.5822  0.0032  0.0532  0.1040  0.0735  0.08
Random 1    64  -0.0658  0.0064  0.0264  0.0252  0.0363  0.02
Random 2   63  -0.0263  0.0063  0.0363  0.0359  0.0264  0.02
Random 3   65  -0.0964  0.0065  0.0265  0.0257  0.0365  0.02

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).