Farrell 1958

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   23  0.6314  0.0146  0.0473  0.0481  0.0386  0.03
Anderszewski 2003   35  0.6032  0.0043  0.0541  0.1142  0.0944  0.10
Ashkenazy 1981   28  0.6262  0.0054  0.0556  0.0567  0.0378  0.04
Bacha 2000   12  0.6780  0.0032  0.0631  0.2218  0.3418  0.27
Badura 1965   86  0.3958  0.0084  0.0388  0.0382  0.0387  0.03
Barbosa 1983   60  0.5437  0.0048  0.0560  0.0549  0.0658  0.05
Biret 1990   2  0.763  0.102  0.242  0.593  0.541  0.56
Blet 2003   51  0.5673  0.0059  0.0648  0.0672  0.0373  0.04
Block 1995   58  0.5511  0.0216  0.0825  0.2617  0.3516  0.30
Blumental 1952   49  0.5717  0.0125  0.0534  0.2014  0.3220  0.25
Boshniakovich 1969   45  0.5988  0.0044  0.0444  0.0946  0.0751  0.08
Brailowsky 1960   16  0.6670  0.0034  0.0833  0.2022  0.3519  0.26
Bunin 1987   80  0.4378  0.0085  0.0387  0.0364  0.0488  0.03
Bunin 1987b   82  0.4357  0.0086  0.0379  0.0364  0.0482  0.03
Chiu 1999   44  0.5951  0.0041  0.0538  0.1234  0.2028  0.15
Cohen 1997   71  0.4836  0.0063  0.0378  0.0316  0.3147  0.10
Cortot 1951   27  0.6249  0.0042  0.0539  0.1224  0.3026  0.19
Csalog 1996   85  0.3966  0.0087  0.0382  0.0357  0.0572  0.04
Czerny 1949   63  0.5426  0.0062  0.0649  0.0663  0.0562  0.05
Czerny 1990   17  0.6533  0.0021  0.0520  0.2767  0.0448  0.10
Duchoud 2007   52  0.5619  0.0165  0.0474  0.0460  0.0476  0.04
Ezaki 2006   18  0.657  0.0320  0.0536  0.1857  0.0449  0.08
Falvay 1989   22  0.6412  0.0218  0.0617  0.3121  0.4010  0.35
Farrell 1958   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ferenczy 1958   65  0.5285  0.0076  0.0386  0.0366  0.0485  0.03
Fliere 1977   9  0.6790  0.0029  0.0722  0.2661  0.0443  0.10
Fou 1978   26  0.6263  0.0024  0.0621  0.2654  0.0537  0.11
Francois 1956   30  0.6131  0.0019  0.0619  0.2837  0.2123  0.24
Friedman 1923   83  0.4391  0.0074  0.0383  0.0348  0.0765  0.05
Friedman 1923b   79  0.4467  0.0073  0.0384  0.0343  0.1355  0.06
Friedman 1930   76  0.4581  0.0072  0.0558  0.0560  0.0560  0.05
Garcia 2007   34  0.6116  0.0115  0.0716  0.345  0.546  0.43
Garcia 2007b   66  0.5150  0.0010  0.1114  0.365  0.517  0.43
Gierzod 1998   14  0.6635  0.0028  0.0529  0.2456  0.0446  0.10
Gornostaeva 1994   32  0.6146  0.0055  0.0647  0.0655  0.0463  0.05
Groot 1988   3  0.716  0.044  0.165  0.5216  0.493  0.50
Harasiewicz 1955   67  0.5043  0.0056  0.0745  0.0784  0.0279  0.04
Hatto 1993   64  0.5347  0.0078  0.0554  0.0548  0.0664  0.05
Hatto 1997   48  0.5829  0.0071  0.0557  0.0580  0.0374  0.04
Horowitz 1949   56  0.5572  0.0070  0.0469  0.0447  0.0568  0.04
Indjic 1988   61  0.5486  0.0077  0.0381  0.0348  0.0671  0.04
Kapell 1951   50  0.5768  0.0045  0.0446  0.0776  0.0456  0.05
Kissin 1993   54  0.5641  0.0057  0.0653  0.0683  0.0370  0.04
Kushner 1989   19  0.6575  0.0030  0.0623  0.2659  0.0538  0.11
Luisada 1991   13  0.6625  0.0031  0.0528  0.2445  0.0830  0.14
Lushtak 2004   10  0.6739  0.009  0.1010  0.4232  0.2017  0.29
Malcuzynski 1961   46  0.5864  0.0067  0.0475  0.0471  0.0467  0.04
Magaloff 1978   5  0.705  0.045  0.137  0.4910  0.474  0.48
Magin 1975   70  0.4956  0.0079  0.0468  0.0476  0.0381  0.03
Michalowski 1933   88  0.3689  0.0081  0.0377  0.0361  0.0669  0.04
Milkina 1970   7  0.6845  0.0012  0.0713  0.3737  0.1621  0.24
Mohovich 1999   11  0.6783  0.0014  0.078  0.4541  0.1322  0.24
Moravec 1969   55  0.5660  0.0053  0.0561  0.0533  0.2635  0.11
Morozova 2008   38  0.6040  0.0023  0.0526  0.2563  0.0445  0.10
Neighaus 1950   4  0.7118  0.018  0.204  0.5235  0.2013  0.32
Niedzielski 1931   41  0.6020  0.0140  0.0540  0.1219  0.3525  0.20
Ohlsson 1999   21  0.6510  0.0239  0.0542  0.1155  0.0552  0.07
Osinska 1989   6  0.691  0.241  0.243  0.5812  0.482  0.53
Pachmann 1927   69  0.4974  0.0075  0.0380  0.0342  0.1057  0.05
Paderewski 1930   29  0.6113  0.0111  0.099  0.436  0.445  0.43
Perlemuter 1992   43  0.594  0.086  0.1411  0.4127  0.2611  0.33
Pierdomenico 2008   57  0.5538  0.0036  0.0530  0.2313  0.4412  0.32
Poblocka 1999   62  0.5479  0.0068  0.0465  0.0484  0.0380  0.03
Rabcewiczowa 1932   37  0.6027  0.0017  0.0815  0.3520  0.389  0.36
Rachmaninoff 1923   31  0.619  0.0213  0.0712  0.3827  0.2314  0.30
Rangell 2001   72  0.4842  0.0037  0.0637  0.1345  0.0941  0.11
Richter 1976   87  0.3861  0.0088  0.0471  0.0485  0.0283  0.03
Rosen 1989   25  0.6344  0.0038  0.0635  0.2046  0.0833  0.13
Rosenthal 1930   74  0.4765  0.0080  0.0562  0.0571  0.0377  0.04
Rosenthal 1931   78  0.4477  0.0064  0.0476  0.0434  0.1850  0.08
Rosenthal 1931b   75  0.4753  0.0060  0.0650  0.0626  0.3131  0.14
Rosenthal 1931c   73  0.4728  0.0066  0.0472  0.0442  0.1153  0.07
Rosenthal 1931d   68  0.4954  0.0061  0.0555  0.0527  0.2542  0.11
Rossi 2007   84  0.4155  0.0069  0.0464  0.0421  0.3136  0.11
Rubinstein 1939   33  0.6134  0.0047  0.0467  0.0411  0.3934  0.12
Rubinstein 1952   53  0.5676  0.0035  0.0643  0.1129  0.3127  0.18
Rubinstein 1966   8  0.6821  0.0133  0.0632  0.2220  0.4215  0.30
Schilhawsky 1960   59  0.558  0.0258  0.0652  0.0665  0.0459  0.05
Shebanova 2002   36  0.6023  0.0050  0.0559  0.0573  0.0475  0.04
Smith 1975   15  0.6624  0.007  0.136  0.5119  0.358  0.42
Sokolov 2002   47  0.5815  0.0151  0.0466  0.0445  0.0854  0.06
Sztompka 1959   20  0.6569  0.0022  0.0518  0.3151  0.0729  0.15
Tomsic 1995   40  0.6059  0.0049  0.0651  0.0633  0.2732  0.13
Uninsky 1932   77  0.4552  0.0083  0.0463  0.0449  0.0661  0.05
Uninsky 1971   81  0.4382  0.0082  0.0385  0.0374  0.0484  0.03
Wasowski 1980   39  0.6022  0.0052  0.0470  0.0463  0.0566  0.04
Zak 1937   24  0.6348  0.0026  0.0424  0.2664  0.0539  0.11
Zak 1951   42  0.5930  0.0027  0.0627  0.2565  0.0540  0.11
Average   1  0.782  0.213  0.391  0.6750  0.0724  0.22
Random 1   91  -0.1487  0.0091  0.0191  0.0166  0.0390  0.02
Random 2   90  -0.0971  0.0089  0.0289  0.0268  0.0389  0.02
Random 3   89  -0.0284  0.0090  0.0190  0.0171  0.0391  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).