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  0.4980  0.0316  0.12
Anderszewski 2003   44  0.0342  0.0049  0.0648  0.0682  0.0347  0.04
Ashkenazy 1981   42  0.0387  0.0068  0.0470  0.0490  0.0261  0.03
Bacha 2000   15  0.0934  0.0030  0.0727  0.2978  0.0324  0.09
Badura 1965   63  -0.0131  0.0050  0.0649  0.0688  0.0259  0.03
Barbosa 1983   8  0.1013  0.0117  0.0525  0.3188  0.0230  0.08
Biret 1990   35  0.0463  0.0020  0.0614  0.4463  0.0413  0.13
Blet 2003   47  0.0224  0.0136  0.0542  0.1485  0.0245  0.05
Block 1995   73  -0.0537  0.0063  0.0560  0.0590  0.0177  0.02
Blumental 1952   52  0.0150  0.0041  0.0640  0.1678  0.0337  0.07
Boshniakovich 1969   81  -0.0875  0.0087  0.0286  0.0290  0.0191  0.01
Brailowsky 1960   43  0.0327  0.0039  0.0635  0.1982  0.0327  0.08
Bunin 1987   27  0.0551  0.0045  0.0645  0.1184  0.0342  0.06
Bunin 1987b   25  0.0536  0.0044  0.0644  0.1380  0.0339  0.06
Chiu 1999   54  0.0077  0.0069  0.0467  0.0487  0.0248  0.03
Cohen 1997   12  0.098  0.0219  0.0822  0.3566  0.0321  0.10
Cortot 1951   46  0.0228  0.0051  0.0746  0.0776  0.0346  0.05
Csalog 1996   74  -0.0540  0.0073  0.0373  0.0385  0.0273  0.02
Czerny 1949   4  0.121  0.391  0.393  0.5435  0.482  0.51
Czerny 1990   6  0.1120  0.0121  0.0621  0.3682  0.0322  0.10
Duchoud 2007   83  -0.089  0.0252  0.0552  0.0586  0.0258  0.03
Ezaki 2006   9  0.1030  0.009  0.106  0.5164  0.0410  0.14
Falvay 1989   45  0.0261  0.0027  0.0630  0.2785  0.0235  0.07
Farrell 1958   2  0.124  0.072  0.161  0.6158  0.056  0.17
Ferenczy 1958   29  0.0418  0.017  0.088  0.4941  0.293  0.38
Fliere 1977   86  -0.0988  0.0090  0.0189  0.0191  0.0183  0.01
Fou 1978   58  0.0076  0.0072  0.0374  0.0388  0.0270  0.02
Francois 1956   33  0.0467  0.0022  0.0617  0.4275  0.0319  0.11
Friedman 1923   84  -0.0883  0.0077  0.0380  0.0388  0.0282  0.02
Friedman 1923b   82  -0.0844  0.0075  0.0375  0.0389  0.0279  0.02
Friedman 1930   64  -0.0125  0.0165  0.0465  0.0487  0.0257  0.03
Garcia 2007   68  -0.0262  0.0070  0.0463  0.0490  0.0176  0.02
Garcia 2007b   24  0.0648  0.0029  0.0731  0.2371  0.0423  0.10
Gierzod 1998   3  0.127  0.026  0.0810  0.4871  0.0412  0.14
Gornostaeva 1994   20  0.0617  0.0110  0.0811  0.4769  0.0317  0.12
Groot 1988   60  0.0045  0.0056  0.0556  0.0589  0.0263  0.03
Harasiewicz 1955   66  -0.0172  0.0059  0.0561  0.0589  0.0266  0.03
Hatto 1993   31  0.0489  0.0046  0.0553  0.0587  0.0265  0.03
Hatto 1997   7  0.1173  0.0018  0.0612  0.4685  0.0315  0.12
Horowitz 1949   53  0.0121  0.0166  0.0466  0.0489  0.0252  0.03
Indjic 1988   22  0.0649  0.0043  0.0836  0.1786  0.0241  0.06
Kapell 1951   36  0.045  0.0333  0.0641  0.1588  0.0244  0.05
Kissin 1993   37  0.0447  0.0061  0.0462  0.0487  0.0254  0.03
Kushner 1989   61  0.0074  0.0079  0.0376  0.0391  0.0171  0.02
Luisada 1991   38  0.0441  0.0031  0.0724  0.3283  0.0320  0.10
Lushtak 2004   26  0.0522  0.0128  0.0626  0.3087  0.0232  0.08
Malcuzynski 1961   34  0.046  0.0347  0.0647  0.0688  0.0251  0.03
Magaloff 1978   80  -0.0880  0.0080  0.0379  0.0391  0.0169  0.02
Magin 1975   67  -0.0252  0.0060  0.0468  0.0488  0.0250  0.03
Michalowski 1933   90  -0.1278  0.0089  0.0190  0.0191  0.0190  0.01
Milkina 1970   5  0.1229  0.008  0.085  0.5167  0.0411  0.14
Mohovich 1999   49  0.0155  0.0048  0.0551  0.0588  0.0260  0.03
Moravec 1969   18  0.0853  0.0023  0.0713  0.4485  0.0225  0.09
Morozova 2008   14  0.0910  0.0215  0.0728  0.2887  0.0236  0.07
Neighaus 1950   69  -0.0281  0.0067  0.0469  0.0490  0.0264  0.03
Niedzielski 1931   51  0.0133  0.0062  0.0555  0.0586  0.0249  0.03
Ohlsson 1999   91  -0.1268  0.0091  0.0191  0.0191  0.0189  0.01
Osinska 1989   59  0.0016  0.0137  0.0637  0.1786  0.0238  0.06
Pachmann 1927   87  -0.1058  0.0081  0.0284  0.0291  0.0188  0.01
Paderewski 1930   32  0.0411  0.0235  0.0634  0.2084  0.0329  0.08
Perlemuter 1992   79  -0.0890  0.0084  0.0285  0.0291  0.0184  0.01
Pierdomenico 2008   85  -0.0864  0.0088  0.0287  0.0291  0.0185  0.01
Poblocka 1999   78  -0.0779  0.0071  0.0371  0.0388  0.0268  0.02
Rabcewiczowa 1932   23  0.0612  0.0114  0.0816  0.4257  0.068  0.16
Rachmaninoff 1923   30  0.0419  0.0142  0.0638  0.1683  0.0334  0.07
Rangell 2001   55  0.0056  0.0053  0.0559  0.0587  0.0262  0.03
Richter 1976   72  -0.0482  0.0082  0.0282  0.0289  0.0272  0.02
Rosen 1989   76  -0.0691  0.0076  0.0377  0.0390  0.0178  0.02
Rosenthal 1930   13  0.0935  0.0024  0.0818  0.4076  0.0318  0.11
Rosenthal 1931   11  0.102  0.123  0.182  0.5747  0.105  0.24
Rosenthal 1931b   16  0.0865  0.0013  0.0815  0.4456  0.059  0.15
Rosenthal 1931c   57  0.0066  0.0055  0.0558  0.0589  0.0180  0.02
Rosenthal 1931d   19  0.0859  0.0016  0.0719  0.4058  0.0414  0.13
Rossi 2007   77  -0.0726  0.0038  0.0643  0.1373  0.0433  0.07
Rubinstein 1939   17  0.0846  0.0025  0.0523  0.3584  0.0228  0.08
Rubinstein 1952   62  0.0060  0.0057  0.0557  0.0590  0.0181  0.02
Rubinstein 1966   39  0.0369  0.0034  0.0632  0.2387  0.0331  0.08
Schilhawsky 1960   75  -0.0514  0.0164  0.0464  0.0488  0.0255  0.03
Shebanova 2002   71  -0.0470  0.0083  0.0381  0.0391  0.0175  0.02
Smith 1975   21  0.0643  0.005  0.167  0.4957  0.057  0.16
Sokolov 2002   48  0.0239  0.0032  0.0829  0.2791  0.0143  0.05
Sztompka 1959   56  0.0038  0.0058  0.0554  0.0589  0.0253  0.03
Tomsic 1995   28  0.0515  0.0111  0.0720  0.4088  0.0226  0.09
Uninsky 1932   70  -0.0357  0.0078  0.0378  0.0390  0.0174  0.02
Uninsky 1971   41  0.0354  0.0040  0.0739  0.1687  0.0240  0.06
Wasowski 1980   65  -0.0171  0.0074  0.0372  0.0388  0.0267  0.02
Zak 1937   89  -0.1184  0.0085  0.0188  0.0191  0.0186  0.01
Zak 1951   88  -0.1085  0.0086  0.0283  0.0291  0.0187  0.01
Average   50  0.0186  0.0054  0.0550  0.0589  0.0256  0.03
Random 1   40  0.0332  0.0026  0.0533  0.2224  0.294  0.25
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).