Random 2

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   10  0.1023  0.0112  0.079  0.4879  0.0315  0.12
Anderszewski 2003   44  0.0342  0.0049  0.0648  0.0681  0.0345  0.04
Ashkenazy 1981   42  0.0386  0.0067  0.0469  0.0489  0.0261  0.03
Bacha 2000   15  0.0934  0.0030  0.0727  0.2877  0.0323  0.09
Badura 1965   62  -0.0131  0.0051  0.0745  0.0787  0.0246  0.04
Barbosa 1983   8  0.1013  0.0117  0.0524  0.3187  0.0229  0.08
Biret 1990   35  0.0464  0.0020  0.0614  0.4462  0.0413  0.13
Blet 2003   47  0.0224  0.0136  0.0542  0.1384  0.0244  0.05
Block 1995   72  -0.0537  0.0062  0.0559  0.0589  0.0177  0.02
Blumental 1952   51  0.0150  0.0041  0.0640  0.1477  0.0340  0.06
Boshniakovich 1969   80  -0.0875  0.0086  0.0285  0.0289  0.0190  0.01
Brailowsky 1960   43  0.0327  0.0039  0.0635  0.1781  0.0332  0.07
Bunin 1987   27  0.0551  0.0045  0.0650  0.0683  0.0347  0.04
Bunin 1987b   25  0.0536  0.0044  0.0644  0.1279  0.0338  0.06
Chiu 1999   53  0.0077  0.0068  0.0466  0.0486  0.0249  0.03
Cohen 1997   12  0.098  0.0219  0.0822  0.3465  0.0321  0.10
Cortot 1951   46  0.0228  0.0050  0.0647  0.0675  0.0348  0.04
Csalog 1996   73  -0.0540  0.0072  0.0372  0.0384  0.0274  0.02
Czerny 1949   4  0.121  0.391  0.393  0.5434  0.482  0.51
Czerny 1990   6  0.1120  0.0121  0.0621  0.3581  0.0322  0.10
Duchoud 2007   82  -0.089  0.0252  0.0552  0.0585  0.0258  0.03
Ezaki 2006   9  0.1030  0.009  0.106  0.5063  0.0410  0.14
Falvay 1989   45  0.0261  0.0027  0.0630  0.2684  0.0234  0.07
Farrell 1958   2  0.124  0.072  0.161  0.6157  0.056  0.17
Ferenczy 1958   29  0.0418  0.017  0.087  0.4940  0.293  0.38
Fliere 1977   85  -0.0987  0.0089  0.0188  0.0190  0.0182  0.01
Fou 1978   57  0.0076  0.0071  0.0373  0.0387  0.0271  0.02
Francois 1956   33  0.0467  0.0022  0.0616  0.4274  0.0319  0.11
Friedman 1923   83  -0.0883  0.0076  0.0379  0.0387  0.0281  0.02
Friedman 1923b   81  -0.0844  0.0074  0.0374  0.0388  0.0279  0.02
Friedman 1930   63  -0.0125  0.0164  0.0464  0.0486  0.0257  0.03
Garcia 2007   67  -0.0262  0.0069  0.0462  0.0489  0.0259  0.03
Garcia 2007b   24  0.0648  0.0029  0.0731  0.2270  0.0427  0.09
Gierzod 1998   3  0.127  0.026  0.0810  0.4870  0.0412  0.14
Gornostaeva 1994   20  0.0617  0.0110  0.0811  0.4768  0.0316  0.12
Groot 1988   59  0.0045  0.0055  0.0556  0.0588  0.0263  0.03
Harasiewicz 1955   65  -0.0172  0.0058  0.0560  0.0588  0.0266  0.03
Hatto 1993   31  0.0488  0.0046  0.0553  0.0586  0.0265  0.03
Hatto 1997   7  0.1173  0.0018  0.0612  0.4584  0.0314  0.12
Horowitz 1949   52  0.0121  0.0165  0.0465  0.0488  0.0253  0.03
Indjic 1988   22  0.0649  0.0043  0.0738  0.1485  0.0339  0.06
Kapell 1951   36  0.045  0.0333  0.0639  0.1487  0.0242  0.05
Kissin 1993   37  0.0447  0.0060  0.0461  0.0486  0.0255  0.03
Kushner 1989   60  0.0074  0.0078  0.0375  0.0390  0.0172  0.02
Luisada 1991   38  0.0441  0.0031  0.0725  0.3082  0.0325  0.09
Lushtak 2004   26  0.0522  0.0128  0.0626  0.3086  0.0231  0.08
Malcuzynski 1961   34  0.046  0.0347  0.0646  0.0687  0.0252  0.03
Magaloff 1978   79  -0.0880  0.0079  0.0378  0.0390  0.0170  0.02
Magin 1975   66  -0.0252  0.0059  0.0467  0.0487  0.0251  0.03
Michalowski 1933   89  -0.1278  0.0088  0.0189  0.0190  0.0189  0.01
Milkina 1970   5  0.1229  0.008  0.085  0.5166  0.0411  0.14
Mohovich 1999   49  0.0155  0.0048  0.0649  0.0687  0.0260  0.03
Moravec 1969   18  0.0853  0.0023  0.0713  0.4484  0.0224  0.09
Morozova 2008   14  0.0910  0.0215  0.0728  0.2786  0.0235  0.07
Neighaus 1950   68  -0.0281  0.0066  0.0468  0.0489  0.0264  0.03
Niedzielski 1931   50  0.0133  0.0061  0.0555  0.0585  0.0250  0.03
Ohlsson 1999   90  -0.1268  0.0090  0.0190  0.0190  0.0188  0.01
Osinska 1989   58  0.0016  0.0137  0.0636  0.1685  0.0236  0.06
Pachmann 1927   86  -0.1058  0.0080  0.0283  0.0290  0.0187  0.01
Paderewski 1930   32  0.0411  0.0235  0.0634  0.2083  0.0328  0.08
Perlemuter 1992   78  -0.0889  0.0083  0.0284  0.0290  0.0183  0.01
Pierdomenico 2008   84  -0.0865  0.0087  0.0286  0.0290  0.0184  0.01
Poblocka 1999   77  -0.0779  0.0070  0.0370  0.0387  0.0269  0.02
Rabcewiczowa 1932   23  0.0612  0.0114  0.0817  0.4156  0.068  0.16
Rachmaninoff 1923   30  0.0419  0.0142  0.0641  0.1482  0.0337  0.06
Rangell 2001   54  0.0056  0.0053  0.0651  0.0686  0.0262  0.03
Richter 1976   71  -0.0482  0.0081  0.0281  0.0288  0.0273  0.02
Rosen 1989   75  -0.0690  0.0075  0.0376  0.0389  0.0178  0.02
Rosenthal 1930   13  0.0935  0.0024  0.0818  0.4075  0.0318  0.11
Rosenthal 1931   11  0.102  0.123  0.182  0.5746  0.104  0.24
Rosenthal 1931b   16  0.0863  0.0013  0.0815  0.4355  0.059  0.15
Rosenthal 1931c   56  0.0066  0.0054  0.0558  0.0588  0.0180  0.02
Rosenthal 1931d   19  0.0859  0.0016  0.0719  0.3957  0.0417  0.12
Rossi 2007   76  -0.0726  0.0038  0.0643  0.1272  0.0433  0.07
Rubinstein 1939   17  0.0846  0.0025  0.0523  0.3483  0.0320  0.10
Rubinstein 1952   61  0.0060  0.0056  0.0557  0.0589  0.0267  0.03
Rubinstein 1966   39  0.0369  0.0034  0.0632  0.2186  0.0330  0.08
Schilhawsky 1960   74  -0.0514  0.0163  0.0463  0.0487  0.0256  0.03
Shebanova 2002   70  -0.0470  0.0082  0.0380  0.0390  0.0176  0.02
Smith 1975   21  0.0643  0.005  0.168  0.4956  0.057  0.16
Sokolov 2002   48  0.0239  0.0032  0.0829  0.2690  0.0141  0.05
Sztompka 1959   55  0.0038  0.0057  0.0554  0.0588  0.0254  0.03
Tomsic 1995   28  0.0515  0.0111  0.0720  0.3887  0.0226  0.09
Uninsky 1932   69  -0.0357  0.0077  0.0377  0.0389  0.0175  0.02
Uninsky 1971   41  0.0354  0.0040  0.0737  0.1586  0.0243  0.05
Wasowski 1980   64  -0.0171  0.0073  0.0371  0.0387  0.0268  0.02
Zak 1937   88  -0.1184  0.0084  0.0187  0.0190  0.0185  0.01
Zak 1951   87  -0.1085  0.0085  0.0282  0.0290  0.0186  0.01
Random 1   40  0.0332  0.0026  0.0533  0.2124  0.285  0.24
Random 2   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Random 3   1  0.143  0.094  0.154  0.526  0.601  0.56

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).