Random 2

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   20  0.0552  0.0014  0.0910  0.4387  0.037  0.11
Anderszewski 2003   54  0.0030  0.0160  0.0555  0.0589  0.0166  0.02
Ashkenazy 1981   72  -0.0359  0.0078  0.0370  0.0389  0.0175  0.02
Bacha 2000   45  0.0145  0.0043  0.0542  0.1187  0.0236  0.05
Badura 1965   87  -0.0869  0.0088  0.0284  0.0290  0.0187  0.01
Barbosa 1983   5  0.098  0.039  0.1119  0.3488  0.0220  0.08
Biret 1990   21  0.0526  0.0120  0.0912  0.4088  0.0215  0.09
Blet 2003   71  -0.0382  0.0073  0.0369  0.0390  0.0167  0.02
Block 1995   63  -0.0150  0.0064  0.0560  0.0589  0.0173  0.02
Blumental 1952   40  0.0273  0.0035  0.0536  0.1889  0.0233  0.06
Boshniakovich 1969   73  -0.0344  0.0075  0.0375  0.0390  0.0174  0.02
Brailowsky 1960   31  0.0316  0.0115  0.0816  0.3885  0.035  0.11
Bunin 1987   36  0.0355  0.0053  0.0746  0.0788  0.0245  0.04
Bunin 1987b   35  0.0372  0.0052  0.0648  0.0688  0.0250  0.03
Chiu 1999   62  -0.0177  0.0065  0.0562  0.0589  0.0156  0.02
Cohen 1997   12  0.0715  0.0125  0.0723  0.3088  0.0221  0.08
Cortot 1951   8  0.0828  0.0124  0.0621  0.3179  0.0222  0.08
Csalog 1996   90  -0.0856  0.0080  0.0282  0.0290  0.0186  0.01
Czerny 1949   1  0.111  0.331  0.331  0.5777  0.032  0.13
Czerny 1990   18  0.0640  0.0030  0.0534  0.1988  0.0235  0.06
Duchoud 2007   84  -0.0712  0.0259  0.0559  0.0588  0.0171  0.02
Ezaki 2006   7  0.0818  0.0110  0.116  0.4688  0.029  0.10
Falvay 1989   50  0.0081  0.0044  0.0643  0.1188  0.0238  0.05
Farrell 1958   2  0.1021  0.012  0.124  0.5177  0.033  0.12
Ferenczy 1958   58  0.0076  0.0045  0.0845  0.0886  0.0243  0.04
Fliere 1977   83  -0.0687  0.0083  0.0287  0.0290  0.0180  0.01
Fou 1978   69  -0.0365  0.0074  0.0377  0.0390  0.0159  0.02
Francois 1956   24  0.0435  0.0026  0.0620  0.3288  0.0223  0.08
Friedman 1923   89  -0.0889  0.0089  0.0189  0.0189  0.0190  0.01
Friedman 1923b   88  -0.0890  0.0090  0.0190  0.0189  0.0188  0.01
Friedman 1930   74  -0.0338  0.0076  0.0371  0.0388  0.0169  0.02
Garcia 2007   67  -0.0266  0.0067  0.0368  0.0389  0.0172  0.02
Garcia 2007b   55  0.0061  0.0056  0.0552  0.0590  0.0178  0.02
Gierzod 1998   3  0.102  0.083  0.112  0.5387  0.0212  0.10
Gornostaeva 1994   38  0.0219  0.0138  0.0537  0.1789  0.0146  0.04
Groot 1988   70  -0.0342  0.0070  0.0374  0.0389  0.0176  0.02
Harasiewicz 1955   48  0.0179  0.0054  0.0563  0.0588  0.0254  0.03
Hatto 1993   16  0.0649  0.0031  0.0527  0.2586  0.0317  0.09
Hatto 1997   6  0.0833  0.0016  0.089  0.4488  0.0214  0.09
Horowitz 1949   9  0.0734  0.0018  0.0911  0.4086  0.036  0.11
Indjic 1988   15  0.0657  0.0032  0.0725  0.2687  0.0226  0.07
Kapell 1951   39  0.0223  0.0146  0.0549  0.0590  0.0161  0.02
Kissin 1993   53  0.0029  0.0166  0.0466  0.0489  0.0165  0.02
Kushner 1989   59  0.0068  0.0069  0.0372  0.0390  0.0160  0.02
Luisada 1991   32  0.0336  0.0033  0.0531  0.2289  0.0224  0.07
Lushtak 2004   30  0.0414  0.0129  0.0629  0.2388  0.0230  0.07
Malcuzynski 1961   27  0.0447  0.0037  0.0539  0.1390  0.0142  0.04
Magaloff 1978   41  0.0251  0.0051  0.0561  0.0589  0.0157  0.02
Magin 1975   64  -0.0278  0.0071  0.0373  0.0390  0.0158  0.02
Michalowski 1933   60  -0.0139  0.0062  0.0556  0.0588  0.0252  0.03
Milkina 1970   4  0.0932  0.0111  0.113  0.5186  0.0211  0.10
Mohovich 1999   25  0.0446  0.0034  0.0632  0.2187  0.0234  0.06
Moravec 1969   11  0.075  0.054  0.095  0.4786  0.0210  0.10
Morozova 2008   17  0.069  0.0222  0.0624  0.2788  0.0228  0.07
Neighaus 1950   78  -0.0588  0.0082  0.0279  0.0290  0.0189  0.01
Niedzielski 1931   44  0.0148  0.0057  0.0464  0.0488  0.0249  0.03
Ohlsson 1999   81  -0.0683  0.0087  0.0283  0.0290  0.0185  0.01
Osinska 1989   47  0.0117  0.0139  0.0638  0.1788  0.0231  0.06
Pachmann 1927   85  -0.0770  0.0085  0.0286  0.0290  0.0184  0.01
Paderewski 1930   68  -0.0222  0.0136  0.0544  0.1190  0.0151  0.03
Perlemuter 1992   86  -0.0763  0.0086  0.0285  0.0290  0.0181  0.01
Pierdomenico 2008   80  -0.0658  0.0077  0.0280  0.0290  0.0182  0.01
Poblocka 1999   57  0.0084  0.0048  0.0553  0.0588  0.0247  0.03
Rabcewiczowa 1932   26  0.047  0.0327  0.0730  0.2388  0.0225  0.07
Rachmaninoff 1923   19  0.0527  0.0117  0.0922  0.3089  0.0137  0.05
Rangell 2001   33  0.0311  0.0240  0.0641  0.1288  0.0241  0.05
Richter 1976   65  -0.0253  0.0068  0.0367  0.0390  0.0163  0.02
Rosen 1989   66  -0.0271  0.0058  0.0557  0.0589  0.0253  0.03
Rosenthal 1930   14  0.0610  0.028  0.1017  0.3783  0.038  0.11
Rosenthal 1931   13  0.0620  0.0113  0.087  0.4682  0.034  0.12
Rosenthal 1931b   23  0.0437  0.0019  0.0913  0.3986  0.0218  0.09
Rosenthal 1931c   49  0.0067  0.0055  0.0558  0.0589  0.0177  0.02
Rosenthal 1931d   10  0.0713  0.016  0.098  0.4583  0.0216  0.09
Rossi 2007   79  -0.0525  0.0123  0.0633  0.1986  0.0232  0.06
Rubinstein 1939   42  0.0264  0.0049  0.0550  0.0589  0.0248  0.03
Rubinstein 1952   51  0.0074  0.0050  0.0465  0.0488  0.0255  0.03
Rubinstein 1966   34  0.0362  0.0041  0.0535  0.1887  0.0327  0.07
Schilhawsky 1960   56  0.0031  0.0161  0.0647  0.0689  0.0168  0.02
Shebanova 2002   61  -0.0185  0.0072  0.0376  0.0389  0.0170  0.02
Smith 1975   46  0.0160  0.0028  0.0528  0.2490  0.0139  0.05
Sokolov 2002   22  0.0541  0.0021  0.0718  0.3688  0.0219  0.08
Sztompka 1959   52  0.0086  0.0063  0.0551  0.0589  0.0164  0.02
Tomsic 1995   29  0.046  0.0412  0.0815  0.3889  0.0213  0.09
Uninsky 1932   37  0.034  0.065  0.1026  0.2588  0.0229  0.07
Uninsky 1971   43  0.0254  0.0042  0.0540  0.1388  0.0240  0.05
Wasowski 1980   76  -0.0443  0.0084  0.0288  0.0290  0.0179  0.01
Zak 1937   82  -0.0675  0.0081  0.0378  0.0390  0.0162  0.02
Zak 1951   77  -0.0580  0.0079  0.0281  0.0290  0.0183  0.01
Random 1   75  -0.0424  0.0147  0.0554  0.0558  0.0444  0.04
Random 2   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Random 3   28  0.043  0.077  0.0914  0.395  0.531  0.45

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).