Falvay 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   17  0.7412  0.0222  0.0921  0.3126  0.2727  0.29
Anderszewski 2003   75  0.4168  0.0070  0.0372  0.0353  0.0478  0.03
Ashkenazy 1981   54  0.5824  0.0037  0.0641  0.1239  0.1346  0.12
Bacha 2000   36  0.6617  0.0136  0.0535  0.163  0.5523  0.30
Badura 1965   71  0.4930  0.0057  0.0457  0.0459  0.0473  0.04
Barbosa 1983   51  0.5977  0.0055  0.0462  0.0442  0.1954  0.09
Biret 1990   44  0.6214  0.0232  0.0531  0.1920  0.3033  0.24
Blet 2003   37  0.6439  0.0049  0.0458  0.0459  0.0472  0.04
Block 1995   43  0.6278  0.0056  0.0460  0.0432  0.2255  0.09
Blumental 1952   80  0.3440  0.0081  0.0385  0.0372  0.0383  0.03
Boshniakovich 1969   40  0.6323  0.0048  0.0471  0.0433  0.1956  0.09
Brailowsky 1960   11  0.7629  0.0017  0.0815  0.381  0.5611  0.46
Bunin 1987   58  0.5765  0.0072  0.0376  0.0360  0.0486  0.03
Bunin 1987b   59  0.5755  0.0073  0.0549  0.0559  0.0469  0.04
Chiu 1999   38  0.6433  0.0025  0.0828  0.2310  0.4918  0.34
Cohen 1997   74  0.4720  0.0160  0.0463  0.045  0.4942  0.14
Cortot 1951   72  0.4848  0.0082  0.0287  0.0265  0.0487  0.03
Csalog 1996   39  0.6327  0.0047  0.0555  0.055  0.5440  0.16
Czerny 1949   46  0.6121  0.0140  0.0443  0.0955  0.0560  0.07
Czerny 1990   25  0.7080  0.0031  0.0737  0.1556  0.0459  0.08
Duchoud 2007   65  0.5252  0.0071  0.0456  0.0471  0.0381  0.03
Ezaki 2006   18  0.7422  0.0128  0.1120  0.3125  0.2725  0.29
Falvay 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Farrell 1958   48  0.6136  0.0066  0.0646  0.0616  0.2743  0.13
Ferenczy 1958   61  0.5538  0.0077  0.0467  0.0444  0.0962  0.06
Fliere 1977   14  0.7582  0.0016  0.1214  0.3918  0.3217  0.35
Fou 1978   5  0.8118  0.016  0.114  0.613  0.575  0.59
Francois 1956   15  0.7510  0.0212  0.1111  0.427  0.5210  0.47
Friedman 1923   90  -0.1587  0.0091  0.0191  0.0183  0.0391  0.02
Friedman 1923b   89  -0.1488  0.0090  0.0288  0.0287  0.0290  0.02
Friedman 1930   85  0.1384  0.0085  0.0377  0.0378  0.0379  0.03
Garcia 2007   83  0.2746  0.0084  0.0378  0.0353  0.0482  0.03
Garcia 2007b   86  0.0872  0.0086  0.0466  0.0480  0.0388  0.03
Gierzod 1998   34  0.664  0.0910  0.1023  0.3015  0.3222  0.31
Gornostaeva 1994   28  0.6859  0.0039  0.0534  0.1637  0.1839  0.17
Groot 1988   2  0.843  0.113  0.143  0.612  0.643  0.62
Harasiewicz 1955   49  0.6035  0.0027  0.0827  0.2527  0.2828  0.26
Hatto 1993   82  0.2885  0.0054  0.0379  0.0346  0.0574  0.04
Hatto 1997   77  0.3731  0.0038  0.0642  0.1141  0.1050  0.10
Horowitz 1949   32  0.6719  0.019  0.1116  0.356  0.4816  0.41
Indjic 1988   81  0.3245  0.0044  0.0444  0.0743  0.0958  0.08
Kapell 1951   50  0.5934  0.0067  0.0550  0.0548  0.0565  0.05
Kissin 1993   1  0.841  0.171  0.177  0.545  0.576  0.55
Kushner 1989   22  0.7142  0.0042  0.0538  0.1435  0.2237  0.18
Luisada 1991   41  0.6260  0.0033  0.0630  0.1925  0.3031  0.24
Lushtak 2004   30  0.6861  0.0029  0.0726  0.2625  0.2529  0.25
Malcuzynski 1961   16  0.7453  0.0024  0.1019  0.3121  0.3024  0.30
Magaloff 1978   13  0.7511  0.0211  0.119  0.474  0.489  0.47
Magin 1975   62  0.5347  0.0051  0.0375  0.0346  0.0764  0.05
Michalowski 1933   84  0.1441  0.0079  0.0381  0.0378  0.0377  0.03
Milkina 1970   8  0.795  0.065  0.151  0.671  0.661  0.66
Mohovich 1999   7  0.8174  0.0013  0.1112  0.4211  0.4613  0.44
Moravec 1969   27  0.6950  0.0041  0.0439  0.1311  0.4630  0.24
Morozova 2008   42  0.6228  0.0035  0.0633  0.1620  0.2038  0.18
Neighaus 1950   21  0.7157  0.0023  0.0718  0.3324  0.3321  0.33
Niedzielski 1931   73  0.4832  0.0059  0.0470  0.0412  0.3645  0.12
Ohlsson 1999   45  0.6169  0.0034  0.0632  0.1718  0.3234  0.23
Osinska 1989   23  0.7170  0.0030  0.0636  0.1527  0.2535  0.19
Pachmann 1927   33  0.6662  0.0026  0.0829  0.218  0.5220  0.33
Paderewski 1930   60  0.5589  0.0068  0.0465  0.0481  0.0276  0.03
Perlemuter 1992   19  0.7356  0.0021  0.0624  0.2823  0.3126  0.29
Pierdomenico 2008   24  0.7025  0.0015  0.0813  0.391  0.5512  0.46
Poblocka 1999   29  0.6815  0.0243  0.0540  0.1328  0.2536  0.18
Rabcewiczowa 1932   66  0.5151  0.0074  0.0468  0.0457  0.0468  0.04
Rachmaninoff 1923   69  0.5071  0.0058  0.0464  0.0442  0.1061  0.06
Rangell 2001   55  0.5866  0.0052  0.0554  0.0538  0.1657  0.09
Richter 1976   20  0.727  0.0418  0.0725  0.279  0.4019  0.33
Rosen 1989   31  0.6749  0.0045  0.0445  0.0733  0.2644  0.13
Rosenthal 1930   64  0.5243  0.0069  0.0382  0.0343  0.1067  0.05
Rosenthal 1931   63  0.5363  0.0061  0.0373  0.0328  0.3249  0.10
Rosenthal 1931b   67  0.5175  0.0062  0.0548  0.0529  0.2252  0.10
Rosenthal 1931c   53  0.5976  0.0063  0.0552  0.0527  0.2448  0.11
Rosenthal 1931d   52  0.5981  0.0053  0.0374  0.0317  0.3551  0.10
Rossi 2007   79  0.3583  0.0076  0.0386  0.0354  0.0375  0.03
Rubinstein 1939   78  0.3637  0.0075  0.0380  0.0322  0.3747  0.11
Rubinstein 1952   9  0.7913  0.0214  0.1510  0.433  0.638  0.52
Rubinstein 1966   35  0.6654  0.0046  0.0547  0.0521  0.4341  0.15
Schilhawsky 1960   57  0.5764  0.0065  0.0551  0.0556  0.0566  0.05
Shebanova 2002   12  0.7567  0.0020  0.0717  0.347  0.5115  0.42
Smith 1975   26  0.708  0.0319  0.0722  0.3134  0.1932  0.24
Sokolov 2002   47  0.6173  0.0064  0.0553  0.0548  0.0663  0.05
Sztompka 1959   68  0.5090  0.0078  0.0461  0.0456  0.0570  0.04
Tomsic 1995   3  0.8316  0.017  0.188  0.495  0.557  0.52
Uninsky 1932   76  0.3979  0.0083  0.0469  0.0475  0.0380  0.03
Uninsky 1971   70  0.4944  0.0080  0.0384  0.0354  0.0571  0.04
Wasowski 1980   56  0.5826  0.0050  0.0459  0.0425  0.2253  0.09
Zak 1937   10  0.799  0.034  0.145  0.603  0.604  0.60
Zak 1951   6  0.812  0.122  0.162  0.632  0.622  0.62
Average   4  0.826  0.058  0.136  0.5620  0.3214  0.42
Random 1   88  -0.1186  0.0089  0.0290  0.0262  0.0484  0.03
Random 2   91  -0.1958  0.0088  0.0289  0.0284  0.0289  0.02
Random 3   87  -0.0291  0.0087  0.0383  0.0373  0.0385  0.03

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).