Michalowski 1933

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   3  0.355  0.049  0.147  0.5567  0.0412  0.15
Anderszewski 2003   63  0.1475  0.0058  0.0455  0.0485  0.0261  0.03
Ashkenazy 1981   27  0.2412  0.0220  0.0822  0.3842  0.133  0.22
Bacha 2000   77  0.1376  0.0076  0.0284  0.0288  0.0275  0.02
Badura 1965   26  0.249  0.0225  0.0731  0.2286  0.0236  0.07
Barbosa 1983   71  0.1365  0.0078  0.0277  0.0287  0.0281  0.02
Biret 1990   16  0.273  0.102  0.216  0.5778  0.0323  0.13
Blet 2003   2  0.371  0.261  0.2611  0.5236  0.162  0.29
Block 1995   89  0.0582  0.0089  0.0285  0.0287  0.0285  0.02
Blumental 1952   52  0.1854  0.0053  0.0450  0.0485  0.0366  0.03
Boshniakovich 1969   8  0.3230  0.0011  0.1112  0.4970  0.0416  0.14
Brailowsky 1960   64  0.1483  0.0073  0.0376  0.0384  0.0353  0.03
Bunin 1987   72  0.1369  0.0082  0.0281  0.0282  0.0388  0.02
Bunin 1987b   70  0.1388  0.0083  0.0375  0.0379  0.0356  0.03
Chiu 1999   66  0.1415  0.0144  0.0443  0.1079  0.0343  0.05
Cohen 1997   76  0.1384  0.0070  0.0367  0.0384  0.0367  0.03
Cortot 1951   65  0.1445  0.0056  0.0370  0.0370  0.0371  0.03
Csalog 1996   74  0.1389  0.0045  0.0445  0.0984  0.0248  0.04
Czerny 1949   19  0.2556  0.0019  0.0817  0.4368  0.0421  0.13
Czerny 1990   51  0.1885  0.0051  0.0366  0.0387  0.0368  0.03
Duchoud 2007   84  0.1060  0.0067  0.0361  0.0362  0.0549  0.04
Ezaki 2006   40  0.2171  0.0039  0.0538  0.1483  0.0338  0.06
Falvay 1989   48  0.1857  0.0060  0.0357  0.0387  0.0354  0.03
Farrell 1958   49  0.1861  0.0049  0.0456  0.0479  0.0447  0.04
Ferenczy 1958   88  0.0872  0.0090  0.0190  0.0188  0.0291  0.01
Fliere 1977   18  0.2611  0.0221  0.0720  0.4080  0.0418  0.13
Fou 1978   38  0.2135  0.0050  0.0363  0.0387  0.0279  0.02
Francois 1956   10  0.297  0.035  0.1210  0.5252  0.059  0.16
Friedman 1923   86  0.1044  0.0048  0.0448  0.0481  0.0451  0.04
Friedman 1923b   53  0.1850  0.0046  0.0358  0.0387  0.0289  0.02
Friedman 1930   41  0.2151  0.0038  0.0537  0.1479  0.0340  0.06
Garcia 2007   80  0.1132  0.0072  0.0374  0.0371  0.0463  0.03
Garcia 2007b   60  0.1562  0.0065  0.0364  0.0376  0.0474  0.03
Gierzod 1998   22  0.2431  0.0030  0.0729  0.2377  0.0332  0.08
Gornostaeva 1994   30  0.2358  0.0027  0.1026  0.2971  0.0328  0.09
Groot 1988   55  0.1840  0.0069  0.0452  0.0488  0.0370  0.03
Harasiewicz 1955   36  0.2233  0.0047  0.0447  0.0478  0.0372  0.03
Hatto 1993   82  0.1186  0.0086  0.0282  0.0289  0.0290  0.02
Hatto 1997   78  0.1290  0.0085  0.0286  0.0289  0.0383  0.02
Horowitz 1949   67  0.1441  0.0075  0.0279  0.0273  0.0457  0.03
Indjic 1988   68  0.1477  0.0079  0.0368  0.0387  0.0360  0.03
Kapell 1951   61  0.1559  0.0059  0.0546  0.0585  0.0255  0.03
Kissin 1993   35  0.2210  0.0213  0.1023  0.3874  0.0424  0.12
Kushner 1989   5  0.334  0.073  0.282  0.6379  0.0313  0.14
Luisada 1991   15  0.2820  0.0123  0.0919  0.4064  0.0417  0.13
Lushtak 2004   69  0.1378  0.0074  0.0365  0.0385  0.0365  0.03
Malcuzynski 1961   29  0.2355  0.0037  0.0534  0.2089  0.0239  0.06
Magaloff 1978   25  0.2427  0.0024  0.0924  0.3285  0.0231  0.08
Magin 1975   1  0.378  0.026  0.114  0.6263  0.045  0.16
Michalowski 1933   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Milkina 1970   9  0.3122  0.017  0.145  0.6172  0.046  0.16
Mohovich 1999   85  0.1066  0.0081  0.0283  0.0287  0.0286  0.02
Moravec 1969   59  0.1647  0.0063  0.0372  0.0381  0.0352  0.03
Morozova 2008   12  0.2825  0.0112  0.099  0.5253  0.064  0.18
Neighaus 1950   42  0.2118  0.0142  0.0440  0.1388  0.0246  0.05
Niedzielski 1931   75  0.1339  0.0080  0.0280  0.0287  0.0278  0.02
Ohlsson 1999   47  0.1970  0.0052  0.0449  0.0486  0.0258  0.03
Osinska 1989   21  0.2563  0.0036  0.0530  0.2388  0.0234  0.07
Pachmann 1927   24  0.2417  0.0128  0.0925  0.2947  0.0620  0.13
Paderewski 1930   7  0.3324  0.0117  0.0714  0.4629  0.211  0.31
Perlemuter 1992   33  0.2328  0.0026  0.0732  0.2181  0.0329  0.08
Pierdomenico 2008   11  0.2914  0.0118  0.0815  0.4554  0.0510  0.15
Poblocka 1999   83  0.1053  0.0087  0.0288  0.0289  0.0277  0.02
Rabcewiczowa 1932   23  0.2413  0.0222  0.0918  0.4386  0.0227  0.09
Rachmaninoff 1923   39  0.2126  0.0040  0.0539  0.1370  0.0435  0.07
Rangell 2001   73  0.1346  0.0032  0.0641  0.1278  0.0437  0.07
Richter 1976   17  0.2619  0.0114  0.098  0.5352  0.0411  0.15
Rosen 1989   14  0.2848  0.0035  0.0533  0.2085  0.0333  0.08
Rosenthal 1930   46  0.1937  0.0064  0.0369  0.0362  0.0464  0.03
Rosenthal 1931   57  0.1764  0.0084  0.0287  0.0283  0.0282  0.02
Rosenthal 1931b   56  0.1738  0.0062  0.0453  0.0460  0.0450  0.04
Rosenthal 1931c   45  0.2067  0.0057  0.0360  0.0369  0.0473  0.03
Rosenthal 1931d   37  0.2152  0.0061  0.0362  0.0364  0.0469  0.03
Rossi 2007   20  0.2521  0.0131  0.0628  0.2665  0.0426  0.10
Rubinstein 1939   58  0.1716  0.0134  0.0736  0.1585  0.0244  0.05
Rubinstein 1952   44  0.2068  0.0033  0.0535  0.1886  0.0242  0.06
Rubinstein 1966   54  0.1887  0.0071  0.0373  0.0382  0.0362  0.03
Schilhawsky 1960   6  0.332  0.194  0.231  0.6368  0.047  0.16
Shebanova 2002   79  0.1173  0.0077  0.0278  0.0288  0.0384  0.02
Smith 1975   13  0.2843  0.0010  0.1321  0.4069  0.0419  0.13
Sokolov 2002   43  0.2179  0.0029  0.0827  0.2981  0.0230  0.08
Sztompka 1959   34  0.2274  0.0043  0.0444  0.0982  0.0345  0.05
Tomsic 1995   81  0.1180  0.0088  0.0289  0.0277  0.0380  0.02
Uninsky 1932   31  0.2336  0.0041  0.0542  0.1179  0.0341  0.06
Uninsky 1971   50  0.1881  0.0068  0.0451  0.0482  0.0359  0.03
Wasowski 1980   62  0.1491  0.0066  0.0371  0.0387  0.0276  0.02
Zak 1937   28  0.2342  0.0015  0.0713  0.4776  0.0414  0.14
Zak 1951   32  0.2334  0.0016  0.1016  0.4484  0.0325  0.11
Average   4  0.346  0.038  0.163  0.6270  0.048  0.16
Random 1   90  0.0123  0.0155  0.0359  0.031  0.5722  0.13
Random 2   87  0.0929  0.0054  0.0454  0.049  0.4615  0.14
Random 3   91  -0.0649  0.0091  0.0191  0.0169  0.0387  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).