Fou 1978

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   55  0.7656  0.0054  0.0459  0.0435  0.1054  0.06
Ashkenazy 1981   27  0.854  0.0627  0.0730  0.1420  0.3230  0.21
Beliavsky 2004   50  0.7853  0.0056  0.0557  0.0542  0.0559  0.05
BenOr 1989   4  0.922  0.203  0.543  0.742  0.711  0.72
Biret 1990   58  0.7137  0.0057  0.0554  0.0553  0.0464  0.04
Blet 2003   28  0.8560  0.0031  0.0829  0.1833  0.1044  0.13
Block 1995   33  0.8429  0.0041  0.0552  0.0511  0.4640  0.15
Brailowsky 1960   41  0.8147  0.0038  0.0645  0.062  0.6831  0.20
Chiu 1999   25  0.8642  0.0029  0.0726  0.2023  0.3027  0.24
Clidat 1994   21  0.8717  0.0113  0.1115  0.448  0.4514  0.44
Cohen 1997   61  0.5744  0.0062  0.0462  0.0430  0.1152  0.07
Coop 1987   9  0.9031  0.007  0.189  0.5617  0.439  0.49
Cortot 1951   39  0.8227  0.0045  0.0643  0.063  0.6333  0.19
Czerny 1949   38  0.8313  0.0111  0.1017  0.3926  0.3118  0.35
Czerny 1949b   26  0.8522  0.0017  0.1118  0.3928  0.2421  0.31
Ezaki 2006   2  0.943  0.102  0.332  0.767  0.632  0.69
Falvay 1989   3  0.925  0.045  0.284  0.695  0.663  0.67
Ferenczy 1958   52  0.7864  0.0037  0.0737  0.0713  0.4337  0.17
Fiorentino 1962   20  0.8755  0.0025  0.0924  0.2722  0.2825  0.27
Fliere 1977   8  0.9128  0.008  0.238  0.6110  0.458  0.52
Fou 1978   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Francois 1956   45  0.8049  0.0042  0.0556  0.0514  0.3742  0.14
Hatto 1997   51  0.7833  0.0047  0.0934  0.0913  0.3734  0.18
Horowitz 1971   53  0.7838  0.0051  0.0646  0.0635  0.0756  0.06
Horowitz 1985   60  0.5757  0.0063  0.0551  0.0558  0.0557  0.05
Indjic 2001   49  0.7848  0.0048  0.0835  0.0814  0.3638  0.17
Kapell 1951   10  0.8926  0.0015  0.1411  0.4919  0.4213  0.45
Kiepura 1999   31  0.8423  0.0036  0.0648  0.0614  0.4636  0.17
Kilenyi 1937   12  0.8954  0.0012  0.1013  0.4822  0.3715  0.42
Kissin 1993   5  0.9221  0.004  0.257  0.6114  0.3611  0.47
Kitain 1937   63  0.4343  0.0061  0.0460  0.0434  0.0661  0.05
Kushner 1990   37  0.8316  0.0120  0.0827  0.2018  0.2329  0.21
Levy 1951   44  0.8012  0.0140  0.0550  0.051  0.6932  0.19
Luisada 1990   23  0.8736  0.0032  0.0731  0.1325  0.2635  0.18
Lushtak 2004   6  0.9141  0.006  0.266  0.616  0.616  0.61
Lympany 1968   30  0.8552  0.0026  0.0923  0.277  0.5016  0.37
Magaloff 1977   22  0.879  0.0234  0.0742  0.0728  0.2345  0.13
Magaloff 1977b   24  0.8734  0.0035  0.0933  0.0923  0.2341  0.14
Magin 1975   14  0.8930  0.0021  0.0922  0.2927  0.3819  0.33
Milkina 1970   36  0.8346  0.0046  0.0740  0.0719  0.2643  0.13
Mohovich 1999   48  0.7958  0.0049  0.0741  0.0753  0.0555  0.06
Nadelmann 1956   57  0.7532  0.0058  0.0836  0.0834  0.0751  0.07
Ohlsson 1999   42  0.8124  0.0053  0.0461  0.0445  0.0562  0.04
Olejniczac 1990   19  0.8762  0.0024  0.1121  0.3021  0.2924  0.29
Olejniczak 1991   18  0.8740  0.0023  0.1025  0.2627  0.2128  0.23
Osinska 1989   16  0.8825  0.0019  0.2010  0.5127  0.1723  0.29
Paderewski 1912   43  0.8120  0.0043  0.0644  0.0627  0.2449  0.12
Perahia 1994   62  0.5745  0.0060  0.0463  0.0436  0.0660  0.05
Perlemuter 1986   32  0.8439  0.0010  0.1219  0.3519  0.2920  0.32
Poblocka 1999   7  0.9111  0.019  0.215  0.6714  0.604  0.63
Rangell 2001   13  0.897  0.0222  0.0920  0.3320  0.4217  0.37
Risler 1920   47  0.7963  0.0050  0.0649  0.0628  0.2547  0.12
Rosen 1989   11  0.898  0.0214  0.1212  0.492  0.597  0.54
Rubinstein 1939   59  0.6635  0.0059  0.0555  0.0535  0.0853  0.06
Rubinstein 1952   29  0.8514  0.0128  0.0828  0.207  0.4722  0.31
Rubinstein 1966   54  0.7710  0.0152  0.0558  0.0519  0.2848  0.12
Rummel 1943   56  0.7619  0.0030  0.0632  0.114  0.5626  0.25
Shebanova 2002   15  0.886  0.0216  0.1914  0.4810  0.4910  0.48
Smith 1975   35  0.8361  0.0044  0.0647  0.0659  0.0458  0.05
Szpilman 1948   40  0.8250  0.0033  0.0738  0.0727  0.2046  0.12
Uninsky 1971   17  0.8815  0.0118  0.1516  0.424  0.5212  0.47
Wasowski 1980   46  0.8018  0.0055  0.0553  0.0512  0.4339  0.15
Weissenberg 1971   34  0.8451  0.0039  0.0739  0.0737  0.1050  0.08
Average   1  0.941  0.401  0.391  0.7812  0.495  0.62
Random 1    65  -0.0959  0.0065  0.0265  0.0259  0.0266  0.02
Random 2   64  0.0466  0.0064  0.0364  0.0358  0.0365  0.03
Random 3   66  -0.1965  0.0066  0.0166  0.0120  0.2063  0.04

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).