Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   43  0.6853  0.0044  0.0651  0.0622  0.2945  0.13
Ashkenazy 1981   23  0.7448  0.0028  0.1328  0.3526  0.3431  0.34
Beliavsky 2004   53  0.6413  0.0051  0.0556  0.0543  0.0561  0.05
BenOr 1989   7  0.796  0.007  0.158  0.6910  0.579  0.63
Biret 1990   19  0.757  0.0020  0.1118  0.518  0.6115  0.56
Blet 2003   17  0.7646  0.0011  0.1913  0.562  0.787  0.66
Block 1995   28  0.735  0.0025  0.0927  0.3512  0.5425  0.43
Brailowsky 1960   51  0.6537  0.0054  0.0654  0.0615  0.5041  0.17
Chiu 1999   18  0.7524  0.0019  0.1016  0.5510  0.5912  0.57
Clidat 1994   38  0.7033  0.0038  0.0938  0.0919  0.3044  0.16
Cohen 1997   61  0.553  0.0062  0.0461  0.0458  0.0465  0.04
Coop 1987   8  0.7860  0.009  0.279  0.6713  0.5411  0.60
Cortot 1951   56  0.6161  0.0059  0.0460  0.0438  0.0762  0.05
Czerny 1949   24  0.7423  0.0015  0.1420  0.519  0.6114  0.56
Czerny 1949b   36  0.7149  0.0022  0.1026  0.3713  0.5923  0.47
Ezaki 2006   11  0.7825  0.0014  0.1614  0.5620  0.4420  0.50
Falvay 1989   12  0.7865  0.0012  0.2112  0.638  0.658  0.64
Ferenczy 1958   57  0.6122  0.0050  0.0652  0.0614  0.4842  0.17
Fiorentino 1962   1  0.991  1.001  0.981  1.001  1.001  1.00
Fliere 1977   5  0.8028  0.006  0.174  0.783  0.713  0.74
Fou 1978   21  0.7529  0.0023  0.1323  0.4524  0.3727  0.41
Francois 1956   62  0.544  0.0061  0.0557  0.0543  0.0663  0.05
Hatto 1997   52  0.6454  0.0052  0.0463  0.0436  0.0857  0.06
Horowitz 1971   54  0.648  0.0056  0.0939  0.0933  0.0851  0.08
Horowitz 1985   60  0.5655  0.0060  0.0555  0.0532  0.1650  0.09
Indjic 2001   48  0.6758  0.0049  0.0648  0.0646  0.0659  0.06
Kapell 1951   14  0.7710  0.0017  0.1015  0.5518  0.4521  0.50
Kiepura 1999   35  0.7142  0.0039  0.1037  0.109  0.5733  0.24
Kilenyi 1937   9  0.7834  0.005  0.167  0.706  0.666  0.68
Kissin 1993   10  0.7817  0.0010  0.2710  0.6715  0.4317  0.54
Kitain 1937   63  0.4456  0.0063  0.0653  0.0643  0.0660  0.06
Kushner 1990   47  0.6735  0.0048  0.0650  0.0631  0.1848  0.10
Levy 1951   44  0.6736  0.0043  0.0746  0.0733  0.0852  0.07
Luisada 1990   16  0.7738  0.0016  0.1017  0.525  0.5916  0.55
Lushtak 2004   39  0.6943  0.0045  0.0842  0.0846  0.0754  0.07
Lympany 1968   40  0.6918  0.0041  0.0744  0.0714  0.4540  0.18
Magaloff 1977   26  0.7362  0.0031  0.1629  0.3523  0.3530  0.35
Magaloff 1977b   30  0.7350  0.0033  0.1334  0.1325  0.3138  0.20
Magin 1975   4  0.8114  0.004  0.405  0.765  0.704  0.73
Milkina 1970   41  0.6930  0.0046  0.0743  0.0744  0.0753  0.07
Mohovich 1999   27  0.7320  0.0030  0.1525  0.378  0.6122  0.48
Nadelmann 1956   29  0.7331  0.0032  0.1532  0.297  0.5528  0.40
Ohlsson 1999   34  0.7111  0.0034  0.1035  0.1014  0.4834  0.22
Olejniczac 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Olejniczak 1991   2  0.892  0.002  0.753  0.931  0.962  0.94
Osinska 1989   6  0.8026  0.008  0.196  0.7318  0.4910  0.60
Paderewski 1912   46  0.6716  0.0042  0.0649  0.0622  0.2746  0.13
Perahia 1994   59  0.5647  0.0057  0.0462  0.0453  0.0564  0.04
Perlemuter 1986   42  0.6851  0.0040  0.0841  0.0810  0.5735  0.21
Poblocka 1999   15  0.7744  0.0018  0.1321  0.5026  0.3924  0.44
Rangell 2001   20  0.7527  0.0027  0.1024  0.3821  0.3729  0.37
Risler 1920   49  0.6766  0.0036  0.0940  0.0916  0.4537  0.20
Rosen 1989   50  0.6621  0.0055  0.0747  0.0717  0.4143  0.17
Rubinstein 1939   58  0.5957  0.0058  0.0558  0.0543  0.0755  0.06
Rubinstein 1952   31  0.729  0.0026  0.1230  0.3411  0.5326  0.42
Rubinstein 1966   45  0.6715  0.0047  0.0745  0.0730  0.1449  0.10
Rummel 1943   55  0.6212  0.0053  0.0459  0.0433  0.1058  0.06
Shebanova 2002   33  0.7159  0.0035  0.1333  0.1323  0.2739  0.19
Smith 1975   32  0.7263  0.0029  0.1131  0.3328  0.2532  0.29
Szpilman 1948   25  0.7439  0.0024  0.1122  0.496  0.6313  0.56
Uninsky 1971   22  0.7432  0.0021  0.1319  0.516  0.5519  0.53
Wasowski 1980   37  0.7045  0.0037  0.1036  0.1018  0.4236  0.20
Weissenberg 1971   13  0.7752  0.0013  0.1611  0.6317  0.4518  0.53
Average   3  0.8719  0.003  0.852  0.9410  0.555  0.72
Random 1    65  0.0064  0.0065  0.0365  0.0331  0.1156  0.06
Random 2   64  0.0540  0.0064  0.0364  0.039  0.4347  0.11
Random 3   66  -0.0341  0.0066  0.0166  0.0158  0.0366  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).